Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic Scholar20. IJCAI 2007: Hyderabad, India
Manuela M. Veloso:
IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007. 2007- Preface.
- IJCAI-07 Conference Organization.
- IJCAI-07 Awards and Distinguished Papers.
- IJCAI-07 Keynote and Invited Speakers.
- IJCAI Organization.
- Past IJCAI Conferences.
- IJCAI-07 Reviewers.
Research Excellence Award
Computers and Thought Award
Constraint Satisfaction
- Marco Benedetti, Arnaud Lallouet, Jérémie Vautard:
QCSP Made Practical by Virtue of Restricted Quantification. 38-43 - Christian Bessière, Remi Coletta, Barry O'Sullivan, Mathias Paulin:
Query-Driven Constraint Acquisition. 50-55 - Julien Bidot, Thierry Vidal, Philippe Laborie, J. Christopher Beck:
A General Framework for Scheduling in a Stochastic Environment. 56-61 - Sylvain Bouveret, Michel Lemaître:
New Constraint Programming Approaches for the Computation of Leximin-Optimal Solutions in Constraint Networks. 62-67 - Alex Ferguson, Barry O'Sullivan:
Quantified Constraint Satisfaction Problems: From Relaxations to Explanations. 74-79 - Alan M. Frisch, Matthew Grum, Christopher Jefferson, Bernadette Martínez Hernández, Ian Miguel:
The Design of ESSENCE: A Constraint Language for Specifying Combinatorial Problems. 80-87 - Georg Gottlob, Gianluigi Greco, Toni Mancini:
Conditional Constraint Satisfaction: Logical Foundations and Complexity. 88-93 - Carlos Grandón, Gilles Chabert, Bertrand Neveu:
Generalized Interval Projection: A New Technique for Consistent Domain Extension. 94-99 - Tarik Hadzic, Andrzej Wasowski, Henrik Reif Andersen:
Techniques for Efficient Interactive Configuration of Distribution Networks. 100-105 - Emmanuel Hebrard, Barry O'Sullivan, Toby Walsh:
Distance Constraints in Constraint Satisfaction. 106-111 - Philippe Jégou, Samba Ndiaye, Cyril Terrioux:
Dynamic Heuristics for Backtrack Search on Tree-Decomposition of CSPs. 112-117 - Christophe Lecoutre, Lakhdar Sais, Sébastien Tabary, Vincent Vidal:
Nogood Recording from Restarts. 131-136 - Chavalit Likitvivatanavong, Yuanlin Zhang, Scott Shannon, James Bowen, Eugene C. Freuder:
Arc Consistency during Search. 137-142 - Nina Narodytska, Toby Walsh:
Constraint and Variable Ordering Heuristics for Compiling Configuration Problems. 149-154 - Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. 155-160 - Murray Patterson, Yongmei Liu, Eugenia Ternovska, Arvind Gupta:
Grounding for Model Expansion in k-Guarded Formulas with Inductive Definitions. 161-166 - Adrian Petcu, Boi Faltings, Roger Mailler:
PC-DPOP: A New Partial Centralization Algorithm for Distributed Optimization. 167-172 - Sathiamoorthy Subbarayan, Henrik Reif Andersen:
Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs. 180-185 - Xu Yang, John Bigham:
A Call Admission Control Scheme Using NeuroEvolution Algorithm in Cellular Networks. 186-191
Knowledge Representation and Reasoning
- Marco Aiello, Brammert Ottens:
The Mathematical Morpho-Logical View on Reasoning about Space. 205-211 - Ricardo M. Araujo, Luís C. Lamb:
An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism. 212-217 - Jamal Atif, Céline Hudelot, Geoffroy Fouquier, Isabelle Bloch, Elsa D. Angelini:
From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations. 224-229 - Franz Baader, Bernhard Ganter, Baris Sertkaya, Ulrike Sattler:
Completing Description Logic Knowledge Bases Using Formal Concept Analysis. 230-235 - Chitta Baral, Matt Hunsaker:
Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning. 243-249 - Tibor Bosse, Jan Treur:
Higher-Order Potentialities and their Reducers: A Philosophical Foundation Unifying Dynamic Modeling Methods. 262-267 - Diego Calvanese, Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Riccardo Rosati:
EQL-Lite: Effective First-Order Query Processing in Description Logics. 274-279 - Carlos Iván Chesñevar, Guillermo Ricardo Simari:
A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks. 280-285 - Luca Console, Claudia Picardi, Daniele Theseider Dupré:
A Framework for Decentralized Qualitative Model-Based Diagnosis. 286-291 - Marie-Odile Cordier, Alban Grastien:
Exploiting Independence in a Decentralised and Incremental Approach of Diagnosis. 292-297 - Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazakov, Ulrike Sattler:
A Logical Framework for Modularity of Ontologies. 298-303 - Jos de Bruijn, Thomas Eiter, Axel Polleres, Hans Tompits:
Embedding Non-Ground Logic Programs into Autoepistemic Logic for Knowledge-Base Combination. 304-309 - Christophe Dousson, Pierre Le Maigat:
Chronicle Recognition Improvement Using Temporal Focusing and Hierarchization. 324-329 - Thomas Eiter, Michael Fink, Hans Tompits, Stefan Woltran:
Complexity Results for Checking Equivalence of Stratified Logic Programs. 330-335 - Ildikó Flesch, Peter J. F. Lucas, Theo P. van der Weide:
Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis. 380- - Martin Gebser, Benjamin Kaufmann, André Neumann, Torsten Schaub:
Conflict-Driven Answer Set Solving. 386- - Romain Gérard, Souhila Kaci, Henri Prade:
Ranking Alternatives on the Basis of Generic Constraints and Examples - A Possibilistic Approach. 393-398 - Birte Glimm, Ian Horrocks, Carsten Lutz, Ulrike Sattler:
Conjunctive Query Answering for the Description Logic SHIQ. 399-404 - Ashish Gupta, David C. Noelle:
A Dual-Pathway Neural Network Model of Control Relinquishment in Motor Skill Learning. 405-410 - Daniel T. Halstead, Kenneth D. Forbus:
Some Effects of a Reduced Relational Vocabulary on the Whodunit Problem. 411-416 - Jizhou Huang, Ming Zhou, Dan Yang:
Extracting Chatbot Knowledge from Online Discussion Forums. 423-428 - Pallika H. Kanani, Andrew McCallum, Chris Pal:
Improving Author Coreference by Resource-Bounded Information Gathering from the Web. 429-434 - Fangzhen Lin, Yi Zhou:
From Answer Set Logic Programming to Circumscription via Logic of GK. 441-446 - Andrew M. Lovett, Morteza Dehghani, Kenneth D. Forbus:
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition. 447-452 - Carsten Lutz, Dirk Walther, Frank Wolter:
Conservative Extensions in Expressive Description Logics. 453-458 - Søren Tjagvad Madsen, Gerhard Widmer:
Towards a Computational Model of Melody Identification in Polyphonic Music. 459-464 - Diego C. Martínez, Alejandro Javier García, Guillermo Ricardo Simari:
Modelling Well-Structured Argumentation Lines. 465-470 - Wolfgang Mayer, Markus Stumptner:
Abstract Interpretation of Programs for Model-Based Debugging. 471-476 - Boris Motik, Riccardo Rosati:
A Faithful Integration of Description Logics with Logic Programming. 477-482 - Kasia Muldner, Cristina Conati:
Evaluating a Decision-Theoretic Approach to Tailored Example Selection. 483-488 - Alice M. Mulvehill, Brett Benyo, Michael T. Cox, Renu Kurien Bostwick:
Expectation Failure as a Basis for Agent-Based Model Diagnosis and Mixed Initiative Model Adaptation during Anomalous Plan Execution. 489-494 - Isabel Navarrete, Antonio Morales, Guido Sciavicco:
Consistency Checking of Basic Cardinal Constraints over Connected Regions. 495-500 - Michele Piunti, Cristiano Castelfranchi, Rino Falcone:
Surprise as Shortcut for Anticipation: Clustering Mental States in Reasoning. 507-512 - Gregory M. Provan, Jun Wang:
Automated Benchmark Model Generators for Model-Based Diagnostic Inference. 513-518 - Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran:
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. 519-525 - Virginia Savova, Leonid Peshkin:
Is the Turing Test Good Enough? The Fallacy of Resource-Unbounded Intelligence. 545-550 - Vincent Schickel-Zuber, Boi Faltings:
OSS: A Semantic Similarity Function based on Hierarchical Ontologies. 551-556 - Stefan Schlobach, Michel C. A. Klein, Linda Peelen:
Description Logics with Approximate Definitions - Precise Modeling of Vague Concepts. 557-562 - Hedda Rahel Schmidtke, Woontack Woo:
A Size-Based Qualitative Approach to the Representation of Spatial Granularity. 563-568 - Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Qualitative Temporal Reasoning about Vague Events. 569-574 - Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi:
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. 587-592 - M. G. Suraj, D. S. Guru:
Appearance Based Recognition Methodology for Recognising Fingerspelling Alphabets. 605-610 - Laurent Vercouter, Sara J. Casare, Jaime Simão Sichman, Anarosa Brandão:
An Experience on Reputation Models Interoperability Based on a Functional Ontology. 617-622 - Bart Verheij:
A Labeling Approach to the Computation of Credulous Acceptance in Argumentation. 623-628 - Huan Wang, Shuicheng Yan, Thomas S. Huang, Xiaoou Tang:
A Convengent Solution to Tensor Subspace Learning. 629-634 - Mark A. Wood, Joanna Bryson:
Representations for Action Selection Learning from Real-Time Observation of Task Experts. 641-646
Learning
- Isabelle Alvarez, Stephan Bernard, Guillaume Deffuant:
Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary. 654-659 - Edin Andelic, Martin Schafföner, Marcel Katz, Sven E. Krüger, Andreas Wendemuth:
Updates for Nonlinear Discriminants. 660-665 - Sebastian Bader, Pascal Hitzler, Steffen Hölldobler, Andreas Witzel:
A Fully Connectionist Model Generator for Covered First-Order Logic Programs. 666-671 - Sabri Bayoudh, Laurent Miclet, Arnaud Delhay:
Learning by Analogy: A Classification Rule for Binary and Nominal Data. 678-683 - Ron Bekkerman, Hema Raghavan, James Allan, Koji Eguchi:
Interactive Clustering of Text Collections According to a User-Specified Criterion. 684-689 - Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna Helena Reali Costa:
Heuristic Selection of Actions in Multiagent Reinforcement Learning. 690-695 - Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Unsupervised Discretization Using Kernel Density Estimation. 696-701 - Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao:
Locality Sensitive Discriminant Analysis. 708-713 - Paul R. Cohen, Yu-Han Chang, Clayton T. Morrison, Carole R. Beal:
Learning and Transferring Action Schemas. 720-725 - Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe:
Online Learning and Exploiting Relational Models in Reinforcement Learning. 726-731 - Guang Dai, Dit-Yan Yeung:
Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. 744-749 - Mathieu d'Aquin, Fadi Badra, Sandrine Lafrogne, Jean Lieber, Amedeo Napoli, Laszlo Szathmary:
Case Base Mining for Adaptation Knowledge Acquisition. 750-755 - Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao:
Learning Classifiers When the Training Data Is Not IID. 756-761 - Narayanan Unny Edakunni, Stefan Schaal, Sethu Vijayakumar:
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. 762-767 - Santiago Fernández, Alex Graves, Jürgen Schmidhuber:
Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks. 774-779 - Nancy Fulda, Dan Ventura:
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. 780-785 - Glenn Fung, Rómer Rosales, R. Bharat Rao:
Feature Selection and Kernel Design via Linear Programming. 786-791 - Ugo Galassi, Attilio Giordana, Lorenza Saitta:
Incremental Construction of Structured Hidden Markov Models. 798-803 - Gemma C. Garriga, Roni Khardon, Luc De Raedt:
On Mining Closed Sets in Multi-Relational Data. 804-809 - Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey:
Improving Embeddings by Flexible Exploitation of Side Information. 810-816 - Sertan Girgin, Faruk Polat, Reda Alhajj:
State Similarity Based Approach for Improving Performance in RL. 817-822 - András György, Levente Kocsis, Ivett Szabó, Csaba Szepesvári:
Continuous Time Associative Bandit Problems. 830-835 - Sariel Har-Peled, Dan Roth, Dav Zimak:
Maximum Margin Coresets for Active and Noise Tolerant Learning. 836-841 - Claudia Henry, Richard Nock, Frank Nielsen:
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. 842-847 - Manfred Hild, Frank Pasemann:
Self-Adjusting Ring Modules (SARMs) for Flexible Gait Pattern Generation. 848-852 - Jin Huang, Charles X. Ling:
Constructing New and Better Evaluation Measures for Machine Learning. 859-864 - Michael R. James, Michael E. Samples, Dmitri A. Dolgov:
Improving Anytime Point-Based Value Iteration Using Principled Point Selections. 865-870 - M. A. Jayaram, M. C. Nataraja, C. N. Ravikumar:
A Three-Stage Neural Model for Attribute Based Classification and Indexing of Fly Ashes. 871-876 - Ashish Kapoor, Eric Horvitz, Sumit Basu:
Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning. 877-882 - Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner:
Exploiting Sensorimotor Coordination for Learning to Recognize Objects. 883-888 - Aleksander Kolcz, Abdur Chowdhury:
Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization. 889-894 - George Konidaris, Andrew G. Barto:
Building Portable Options: Skill Transfer in Reinforcement Learning. 895-900 - Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang:
Generalized Additive Bayesian Network Classifiers. 913-918 - Wenye Li, Kwong-Sak Leung, Kin-Hong Lee:
Generalizing the Bias Term of Support Vector Machines. 919-924 - Wenhui Liao, Yan Tong, Zhiwei Zhu, Qiang Ji:
Robust Object Tracking with a Case-Base Updating Strategy. 925-930 - Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele:
Protein Quaternary Fold Recognition Using Conditional Graphical Models. 937-945 - Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans:
Automatic Gait Optimization with Gaussian Process Regression. 944-949 - Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, Antonio Bahamonde:
Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve. 956-961 - Volker Nannen, A. E. Eiben:
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters. 975-980 - Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu:
A Tighter Error Bound for Decision Tree Learning Using PAC Learnability. 1011-1016 - Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet:
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. 1035-1040 - Manu Sharma, Michael P. Holmes, Juan Carlos Santamaría, Arya Irani, Charles Lee Isbell Jr., Ashwin Ram:
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL. 1041-1046 - David Silver, Richard S. Sutton, Martin Müller:
Reinforcement Learning of Local Shape in the Game of Go. 1053-1058 - Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi:
Semi-Supervised Gaussian Process Classifiers. 1059-1064 - Ah-Hwee Tan:
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning. 1071-1076 - Brian Tanner, Vadim Bulitko, Anna Koop, Cosmin Paduraru:
Grounding Abstractions in Predictive State Representations. 1077-1082 - Peter Tiño, Nikolaos Gianniotis:
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling. 1083-1088 - Ivor W. Tsang, James T. Kwok:
Ensembles of Partially Trained SVMs with Multiplicative Updates. 1089-1094 - Chenggang Wang, Saket Joshi, Roni Khardon:
First Order Decision Diagrams for Relational MDPs. 1095-1100 - Haiying Wang, Huiru Zheng, Francisco Azuaje:
Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery. 1101-1106 - Jonathan Wildstrom, Peter Stone, Emmett Witchel, Michael Dahlin:
Machine Learning for On-Line Hardware Reconfiguration. 1113-1118 - Ben H. Williams, Marc Toussaint, Amos J. Storkey:
A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data. 1119-1124 - Dit-Yan Yeung, Hong Chang, Guang Dai:
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. 1138-1143 - Peng Zang, Charles Lee Isbell Jr.:
Managing Domain Knowledge and Multiple Models with Boosting. 1144-1149 - Yi Zhang, Xiaoming Jin:
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning. 1150-1155 - Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha:
Learning User Clicks in Web Search. 1162-1167 - Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi:
An Empirical Study of the Noise Impact on Cost-Sensitive Learning. 1168-1174
Multiagent Systems
- Thomas Ågotnes, Wiebe van der Hoek, Juan A. Rodríguez-Aguilar, Carles Sierra, Michael Wooldridge:
On the Logic of Normative Systems. 1175-1180 - Bo An, Chunyan Miao, Zhiqi Shen:
Market Based Resource Allocation with Incomplete Information. 1193-1198 - Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham:
A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios. 1199-1206 - Teddy Candale, Sandip Sen:
Multi-Dimensional Bid Improvement Algorithm for Simultaneous Auctions. 1215-1220 - Jesús Cerquides, Ulle Endriss, Andrea Giovannucci, Juan A. Rodríguez-Aguilar:
Bidding Languages and Winner Determination for Mixed Multi-unit Combinatorial Auctions. 1221-1226 - Georgios Chalkiadakis, Craig Boutilier:
Coalitional Bargaining with Agent Type Uncertainty. 1227-1232 - Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet:
Reaching Envy-Free States in Distributed Negotiation Settings. 1239-1244 - Samir Chopra, Laurence White:
Privacy and Artificial Agents, or, Is Google Reading My Email? 1245-1250 - Jonathan Dinerstein, Parris K. Egbert, Dan Ventura:
Learning Policies for Embodied Virtual Agents through Demonstration. 1257-1262 - Partha Sarathi Dutta, Claudia V. Goldman, Nicholas R. Jennings:
Communicating Effectively in Resource-Constrained Multi-Agent Systems. 1269-1274 - Nicolas Gaud, Franck Gechter, Stéphane Galland, Abder Koukam:
Holonic Multiagent Multilevel Simulation: Application to Real-Time Pedestrian Simulation in Urban Environment. 1275-1280 - Rajesh Gautam, Kazuo Miyashita:
Coordination to Avoid Starvation of Bottleneck Agents in a Large Network System. 1281-1286 - Enrico H. Gerding, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings:
Sellers Competing for Buyers in Online Markets: Reserve Prices, Shill Bids, and Auction Fees. 1287-1293 - Georg Gottlob, Gianluigi Greco, Toni Mancini:
Complexity of Pure Equilibria in Bayesian Games. 1294-1299 - Joseph Y. Halpern, Yoram Moses:
Characterizing Solution Concepts in Games Using Knowledge-Based Programs. 1300-1307 - Edith Hemaspaandra, Lane A. Hemaspaandra, Jörg Rothe:
Hybrid Elections Broaden Complexity-Theoretic Resistance to Control. 1308-1314 - Mark Hoogendoorn:
Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks. 1321-1326 - Jian Huang, Adrian R. Pearce:
Collaborative Inductive Logic Programming for Path Planning. 1327-1332 - Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuki Nakanishi:
Augmented Experiment: Participatory Design with Multiagent Simulation. 1341-1346 - Takayuki Ito, Hiromitsu Hattori, Mark Klein:
Multi-issue Negotiation Protocol for Agents: Exploring Nonlinear Utility Spaces. 1347-1352 - Yichuan Jiang, Toru Ishida:
A Model for Collective Strategy Diffusion in Agent Social Law Evolution. 1353-1358 - Sven Koenig, Craig A. Tovey, Xiaoming Zheng, Ilgaz Sungur:
Sequential Bundle-Bid Single-Sale Auction Algorithms for Decentralized Control. 1359-1365 - Jérôme Lang, Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable, Toby Walsh:
Winner Determination in Sequential Majority Voting. 1372-1377 - Alessio Lomuscio, Charles Pecheur, Franco Raimondi:
Automatic Verification of Knowledge and Time with NuSMV. 1384-1389 - Rónán Mac Ruairi, Mark T. Keane:
An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events. 1390-1395 - Vijay Kumar Mago, M. Syamala Devi:
A Multi-Agent Medical System for Indian Rural Infant and Child Care. 1396-1401 - Enrico Malizia, Luigi Palopoli, Francesco Scarcello:
Infeasibility Certificates and the Complexity of the Core in Coalitional Games. 1402-1407 - Efrat Manisterski, Ron Katz, Sarit Kraus:
Providing a Recommended Trading Agent to a Population: A Novel Approach. 1408-1414 - Efrat Manisterski, David Sarne, Sarit Kraus:
Enhancing MAS Cooperative Search Through Coalition Partitioning. 1415-1421 - Nir Oren, Timothy J. Norman, Alun D. Preece:
Argumentation Based Contract Monitoring in Uncertain Domains. 1434- - Nardine Osman, David Robertson:
Dynamic Verification of Trust in Distributed Open Systems. 1440-1445 - Jonathan P. Pearce, Milind Tambe:
Quality Guarantees on k-Optimal Solutions for Distributed Constraint Optimization Problems. 1446-1451 - Adrian Petcu, Boi Faltings:
MB-DPOP: A New Memory-Bounded Algorithm for Distributed Optimization. 1452-1457 - Giovanni Pezzulo, Gianguglielmo Calvi, Cristiano Castelfranchi:
DiPRA: Distributed Practical Reasoning Architecture. 1458-1463 - Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable, Toby Walsh:
Incompleteness and Incomparability in Preference Aggregation. 1464-1469 - Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein:
Gossip-Based Aggregation of Trust in Decentralized Reputation Systems. 1470-1475 - Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar:
Multi-Winner Elections: Complexity of Manipulation, Control and Winner-Determination. 1476-1481 - Sabyasachi Saha, Sandip Sen:
An Efficient Protocol for Negotiation over Multiple Indivisible Resources. 1494-1499 - Tuomas Sandholm, Vincent Conitzer, Craig Boutilier:
Automated Design of Multistage Mechanisms. 1500-1506 - Arpita Sinha, Debasish Ghose:
Control of Agent Swarms Using Generalized Centroidal Cyclic Pursuit Laws. 1525-1530 - Evan Sultanik, Pragnesh Jay Modi, William C. Regli:
On Modeling Multiagent Task Scheduling as a Distributed Constraint Optimization Problem. 1531-1536 - Emmanuel Tanguy, Philip J. Willis, Joanna Bryson:
Emotions as Durative Dynamic State for Action Selection. 1537- - Ioannis A. Vetsikas, Nicholas R. Jennings, Bart Selman:
Generating Bayes-Nash Equilibria to Design Autonomous Trading Agents. 1543-1550 - Peng Zang, Manish Mehta, Michael Mateas, Ashwin Ram:
Towards Runtime Behavior Adaptation for Embodied Characters. 1557-1562 - Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein:
Using Focal Point Learning to Improve Tactic Coordination in Human-Machine Interactions. 1563-1569
Natural Language Processing
- István Bíró, Zoltán Szamonek, Csaba Szepesvári:
Sequence Prediction Exploiting Similary Information. 1576-1581 - Sutanu Chakraborti, Rahman Mukras, Robert Lothian, Nirmalie Wiratunga, Stuart N. K. Watt, David J. Harper:
Supervised Latent Semantic Indexing Using Adaptive Sprinkling. 1582-1587 - Karolina Eliasson:
Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System. 1600-1605 - Evgeniy Gabrilovich, Shaul Markovitch:
Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis. 1606-1611 - Long Jiang, Ming Zhou, Lee-Feng Chien, Cheng Niu:
Named Entity Translation with Web Mining and Transliteration. 1629-1634 - Upali Sathyajith Kohomban, Wee Sun Lee:
Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes. 1635-1640 - Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky:
Learning from the Report-writing Behavior of Individuals. 1641-1646 - Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
SegGen: A Genetic Algorithm for Linear Text Segmentation. 1647-1652 - Lucian Vlad Lita, Jaime G. Carbonell:
Cluster-Based Selection of Statistical Answering Strategies. 1653-1658 - Rahul Malik, L. Venkata Subramaniam, Saroj Kaushik:
Automatically Selecting Answer Templates to Respond to Customer Emails. 1659-1664 - Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii:
Efficient HPSG Parsing with Supertagging and CFG-Filtering. 1671-1676 - Srinivas Medimi, Pushpak Bhattacharyya:
A Flexible Unsupervised PP-Attachment Method Using Semantic Information. 1677-1682 - Roberto Navigli, Mirella Lapata:
Graph Connectivity Measures for Unsupervised Word Sense Disambiguation. 1683-1688 - Minh Le Nguyen, Nguyen Thanh Tri, Akira Shimazu:
Subtree Mining for Question Classification Problem. 1695-1700 - Yanxin Shi, Mengqiu Wang:
A Dual-layer CRFs Based Joint Decoding Method for Cascaded Segmentation and Labeling Tasks. 1707-1712 - Benjamin Snyder, Regina Barzilay:
Database-Text Alignment via Structured Multilabel Classification. 1713-1718 - George Tsatsaronis, Michalis Vazirgiannis, Ion Androutsopoulos:
Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri. 1725-1730 - Kiyotaka Uchimoto, Hitoshi Isahara:
Morphological Annotation of a Large Spontaneous Speech Corpus in Japanese. 1731-1737 - Srinivasan Umesh, D. Rama Sanand, G. Praveen:
Speaker-Invariant Features for Automatic Speech Recognition. 1738-1743 - Hao-Chuan Wang, Rohit Kumar, Carolyn Penstein Rosé, Tsai-Yen Li, Chun-Yen Chang:
A Hybrid Ontology Directed Feedback Selection Algorithm for Supporting Creative Problem Solving Dialogues. 1750-1755 - Qin Iris Wang, Dekang Lin, Dale Schuurmans:
Simple Training of Dependency Parsers via Structured Boosting. 1756-1762 - Yingchuan Wong, Hwee Tou Ng:
One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition. 1763-1768 - Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes, Henry A. Kautz:
A Privacy-Sensitive Approach to Modeling Multi-Person Conversations. 1769-1775 - Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, Hisami Suzuki:
Multi-Document Summarization by Maximizing Informative Content-Words. 1776-1782 - Kazuhiro Yoshida, Yoshimasa Tsuruoka, Yusuke Miyao, Jun'ichi Tsujii:
Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers. 1783-1788 - Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang:
Automatic Acquisition of Context-Specific Lexical Paraphrases. 1789-1794
Planning and Scheduling
- Massimiliano Albanese, Vincenzo Moscato, Antonio Picariello, V. S. Subrahmanian, Octavian Udrea:
Detecting Stochastically Scheduled Activities in Video. 1802-1807 - Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlraith:
A Heuristic Search Approach to Planning with Temporally Extended Preferences. 1808-1815 - Russell Bent, Pascal Van Hentenryck:
Waiting and Relocation Strategies in Online Stochastic Vehicle Routing. 1816-1821 - Yixin Chen, Zhao Xing, Weixiong Zhang:
Long-Distance Mutual Exclusion for Propositional Planning. 1840-1845 - Jens Claßen, Patrick Eyerich, Gerhard Lakemeyer, Bernhard Nebel:
Towards an Integration of Golog and Planning. 1846-1851 - William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld:
When is Temporal Planning Really Temporal? 1852-1859 - Peng Dai, Judy Goldsmith:
Topological Value Iteration Algorithm for Markov Decision Processes. 1860-1865 - Giuseppe De Giacomo, Sebastian Sardiña:
Automatic Synthesis of New Behaviors from a Library of Available Behaviors. 1866-1871 - Minh Binh Do, J. Benton, Menkes van den Briel, Subbarao Kambhampati:
Planning with Goal Utility Dependencies. 1872-1878 - Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli:
A Decision-Theoretic Model of Assistance. 1879-1884 - Susana Fernández, Ricardo Aler, Daniel Borrajo:
Transferring Learned Control-Knowledge between Planners. 1885-1890 - Sarah L. Hickmott, Jussi Rintanen, Sylvie Thiébaux, Langford B. White:
Planning via Petri Net Unfolding. 1904-1911 - Shen-Shyang Ho, Harry Wechsler:
Detecting Changes in Unlabeled Data Streams Using Martingale. 1912-1917 - Jörg Hoffmann, Carla P. Gomes, Bart Selman, Henry A. Kautz:
SAT Encodings of State-Space Reachability Problems in Numeric Domains. 1918-1923 - Chih-Wei Hsu, Benjamin W. Wah, Ruoyun Huang, Yixin Chen:
Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences. 1924-1929 - Elena Kelareva, Olivier Buffet, Jinbo Huang, Sylvie Thiébaux:
Factored Planning Using Decomposition Trees. 1942-1947 - T. K. Satish Kumar:
Fast (Incremental) Algorithms for Useful Classes of Simple Temporal Problems with Preferences. 1954-1959 - Jürgen Kuster, Dietmar Jannach, Gerhard Friedrich:
Handling Alternative Activities in Resource-Constrained Project Scheduling Problems. 1960-1965 - Robert Mattmüller, Jussi Rintanen:
Planning for Temporally Extended Goals as Propositional Satisfiability. 1966- - Luc Mercier, Pascal Van Hentenryck:
Performance Analysis of Online Anticipatory Algorithms for Large Multistage Stochastic Integer Programs. 1979-1984 - A. Ricardo Morales, Phan Huy Tu, Tran Cao Son:
An Extension to Conformant Planning Using Logic Programming. 1991-1996 - Biplav Srivastava, Tuan Anh Nguyen, Alfonso Gerevini, Subbarao Kambhampati, Minh Binh Do, Ivan Serina:
Domain Independent Approaches for Finding Diverse Plans. 2016-2022 - Felipe W. Trevizan, Fábio Gagliardi Cozman, Leliane Nunes de Barros:
Planning under Risk and Knightian Uncertainty. 2023-2028 - Stavros Vassos, Hector J. Levesque:
Progression of Situation Calculus Action Theories with Incomplete Information. 2029-2024 - David Wingate, Vishal Soni, Britton Wolfe, Satinder P. Singh:
Relational Knowledge with Predictive State Representations. 2035-2040 - Yuehua Xu, Alan Fern, Sung Wook Yoon:
Discriminative Learning of Beam-Search Heuristics for Planning. 2041-2046 - Sung Wook Yoon, Alan Fern, Robert Givan:
Using Learned Policies in Heuristic-Search Planning. 2047-2053
Robotics
- Mehran Asadi, Manfred Huber:
Effective Control Knowledge Transfer through Learning Skill and Representation Hierarchies. 2054-2059 - Pranjal Awasthi, Aakanksha Gagrani, Balaraman Ravindran:
Image Modeling Using Tree Structured Conditional Random Fields. 2060-2065 - Michael Beetz, Suat Gedikli, Jan Bandouch, Bernhard Kirchlechner, Nico von Hoyningen-Huene, Alexander Clifford Perzylo:
Visually Tracking Football Games Based on TV Broadcasts. 2066-2071 - Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt:
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. 2072-2077 - Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao:
Learning to Walk through Imitation. 2084-2090 - Alessandro Farinelli, Daniele Nardi, Paul Scerri, Alberto Ingenito:
Dealing with Perception Errors in Multi-Robot System Coordination. 2091-2096 - Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz:
Team Programming in Golog under Partial Observability. 2097-2102 - Pasquale Foggia, Jean-Michel Jolion, Alessandro Limongiello, Mario Vento:
A New Approach for Stereo Matching in Autonomous Mobile Robot Applications. 2103-2108 - Stephen Friedman, Hanna Pasula, Dieter Fox:
Voronoi Random Fields: Extracting Topological Structure of Indoor Environments via Place Labeling. 2109-2114 - Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng:
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. 2115-2121 - Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar:
Structure Inference for Bayesian Multisensory Perception and Tracking. 2122-2128 - Michael Kaess, Ananth Ranganathan, Frank Dellaert:
Fast Incremental Square Root Information Smoothing. 2129-2134 - Ganesh P. Kumar, K. Madhava Krishna:
Optimal Multi-Sensor Based Multi Target Detection by Moving Sensors to the Maximal Clique in a Covering Graph. 2135-2140 - Wei Liu, Xiaoou Tang, Jianzhuang Liu:
Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination. 2141-2146 - Dimitri Marinakis, Gregory Dudek:
Topological Mapping through Distributed, Passive Sensors. 2147-2152 - Fulvio Mastrogiovanni, Antonio Sgorbissa, Renato Zaccaria:
A Distributed Architecture for Symbolic Data Fusion. 2153-2158 - Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideyuki Nakashima:
Inferring Long-term User Properties Based on Users' Location History. 2159-2165 - Jeffrey Junfeng Pan, Qiang Yang:
Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian. 2166-2171 - Amit Kumar Pandey, K. Madhava Krishna, Mainak Nath:
Feature Based Occupancy Grid Maps for Sonar Based Safe-Mapping. 2172- - Anna Petrovskaya, Andrew Y. Ng:
Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors. 2178-2184 - Christian Plagemann, Dieter Fox, Wolfram Burgard:
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. 2185-2190 - Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng:
Depth Estimation Using Monocular and Stereo Cues. 2197-2203 - Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin:
Efficient Planning of Informative Paths for Multiple Robots. 2204-2211 - Mohan Sridharan, Peter Stone:
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination. 2212-2217 - David Stavens, Gabriel Hoffmann, Sebastian Thrun:
Online Speed Adaptation Using Supervised Learning for High-Speed, Off-Road Autonomous Driving. 2218-2224 - Rudolph Triebel, Richard Schmidt, Óscar Martínez Mozos, Wolfram Burgard:
Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data. 2225-2230 - Felix von Hundelshausen, Hans-Joachim Wünsche, Marco Block, Raul Kompass, Raúl Rojas:
MESH-Based Active Monte Carlo Recognition (MESH-AMCR). 2231-2236 - Shiaokai Wang, William Pentney, Ana-Maria Popescu, Tanzeem Choudhury, Matthai Philipose:
Common Sense Based Joint Training of Human Activity Recognizers. 2237-2242
Search
- Sandip Aine, P. P. Chakrabarti, Rajeev Kumar:
AWA* - A Window Constrained Anytime Heuristic Search Algorithm. 2250-2255 - Gilles Audemard, Laurent Simon:
GUNSAT: A Greedy Local Search Algorithm for Unsatisfiability. 2256-2261 - Gilles Audemard, Saïd Jabbour, Lakhdar Sais:
Symmetry Breaking in Quantified Boolean Formulae. 2262-2267 - Christopher L. Barrett, Harry B. Hunt III, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Mayur Thakur:
Computational Aspects of Analyzing Social Network Dynamics. 2268-2273 - Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud:
A Machine Learning Approach for Statistical Software Testing. 2274-2279 - Ron Bekkerman, Shlomo Zilberstein, James Allan:
Web Page Clustering Using Heuristic Search in the Web Graph. 2280-2285 - Carla P. Gomes, Jörg Hoffmann, Ashish Sabharwal, Bart Selman:
From Sampling to Model Counting. 2293-2299 - Éric Grégoire, Bertrand Mazure, Cédric Piette:
Boosting a Complete Technique to Find MSS and MUS Thanks to a Local Search Oracle. 2300-2305 - Joseph Y. Halpern, Leandro Chaves Rêgo:
Characterizing the NP-PSPACE Gap in the Satisfiability Problem for Modal Logic. 2306-2311 - Richard E. Korf, Ariel Felner:
Recent Progress in Heuristic Search: A Case Study of the Four-Peg Towers of Hanoi Problem. 2324-2329 - Nga Lam Law, Kwok Yip Szeto:
Adaptive Genetic Algorithm with Mutation and Crossover Matrices. 2330-2333 - Patrice Perny, Olivier Spanjaard, Louis-Xavier Storme:
State Space Search for Risk-Averse Agents. 2353-2358 - Duc Nghia Pham, John Thornton, Abdul Sattar:
Building Structure into Local Search for SAT. 2359-2364 - Talal Rahwan, Sarvapali D. Ramchurn, Viet Dung Dang, Nicholas R. Jennings:
Near-Optimal Anytime Coalition Structure Generation. 2365-2371 - D. Chris Rayner, Katherine Davison, Vadim Bulitko, Kenneth Anderson, Jieshan Lu:
Real-Time Heuristic Search with a Priority Queue. 2372-2377 - Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan:
Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. 2385-2390 - Guihua Wen, Lijun Jiang, Nigel R. Shadbolt:
Using Graph Algebra to Optimize Neighborhood for Isometric Mapping. 2398-2403 - Kazuki Yoshizoe, Akihiro Kishimoto, Martin Müller:
Lambda Depth-First Proof Number Search and Its Application to Go. 2404-2409
Uncertainty
- Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Solving POMDPs Using Quadratically Constrained Linear Programs. 2418-2424 - Salem Benferhat, Safa Yahi, Habiba Drias:
On the Compilation of Stratified Belief Bases under Linear and Possibilistic Logic Policies. 2425-2430 - Facundo Bromberg, Dimitris Margaritis:
Efficient and Robust Independence-Based Markov Network Structure Discovery. 2431-2436 - Pablo Samuel Castro, Doina Precup:
Using Linear Programming for Bayesian Exploration in Markov Decision Processes. 2437-2442 - Madalina Croitoru, Kees van Deemter:
A Conceptual Graph Approach for the Generation of Referring Expressions. 2456-2461 - Luc De Raedt, Angelika Kimmig, Hannu Toivonen:
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. 2462-2467 - James P. Delgrande, Jérôme Lang, Torsten Schaub:
Belief Change Based on Global Minimisation. 2468-2473 - Eyal Even-Dar, Sham M. Kakade, Yishay Mansour:
The Value of Observation for Monitoring Dynamic Systems. 2474-2479 - Brian Ferris, Dieter Fox, Neil D. Lawrence:
WiFi-SLAM Using Gaussian Process Latent Variable Models. 2480-2485 - Jingrui He, Jaime G. Carbonell, Yan Liu:
Graph-Based Semi-Supervised Learning as a Generative Model. 2492-2497 - Aaron Hunter, James P. Delgrande:
An Action Description Language for Iterated Belief Change. 2498-2503 - Jorge Jambeiro Filho, Jacques Wainer:
Using a Hierarchical Bayesian Model to Handle High Cardinality Attributes with Relevant Interactions in a Classification Problem. 2504-2509 - Ted Kremenek, Andrew Y. Ng, Dawson R. Engler:
A Factor Graph Model for Software Bug Finding. 2510-2516 - Seunghak Lee, Iryoung Jeong, Seungjin Choi:
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. 2523-2529 - Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. Kautz:
Training Conditional Random Fields Using Virtual Evidence Boosting. 2530-2535 - Janusz Marecki, Sven Koenig, Milind Tambe:
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources. 2536-2541 - Nicolas Meuleau, Ronen I. Brafman:
Hierarchical Heuristic Forward Search in Stochastic Domains. 2542-2549 - Shin-ichi Minato, Ken Satoh, Taisuke Sato:
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs. 2550-2555 - Shravan Matthur Narayanamurthy, Balaraman Ravindran:
Efficiently Exploiting Symmetries in Real Time Dynamic Programming. 2556-2561 - Pradeep Natarajan, Ramakant Nevatia:
Hierarchical Multi-channel Hidden Semi Markov Models. 2562-2567 - Abhaya C. Nayak, Randy Goebel, Mehmet A. Orgun:
Iterated Belief Contraction from First Principles. 2568-2573 - Stéphane Ross, Brahim Chaib-draa:
AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs. 2592-2598 - Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Forward Search Value Iteration for POMDPs. 2619-2624 - Finnegan Southey, Wesley Loh, Dana F. Wilkinson:
Inferring Complex Agent Motions from Partial Trajectory Observations. 2631-2637 - Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe:
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs. 2638-2644
Web / Data Mining
- Mohamed Aounallah, Guy W. Mineau:
Distributed Data Mining: Why Do More Than Aggregating Models. 2645-2650 - Liviu Badea, Doina Tilivea:
Stable Biclustering of Gene Expression Data with Nonnegative Matrix Factorizations. 2651-2656 - Krisztian Balog, Maarten de Rijke:
Determining Expert Profiles (With an Application to Expert Finding). 2657-2662 - Shumeet Baluja, Michele Covell:
Learning "Forgiving" Hash Functions: Algorithms and Large Scale Tests. 2663-2669 - Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, Oren Etzioni:
Open Information Extraction from the Web. 2670-2676 - Punam Bedi, Harmeet Kaur, Sudeep Marwaha:
Trust Based Recommender System for Semantic Web. 2677-2682 - Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen:
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. 2689-2694 - Mark James Carman, Craig A. Knoblock:
Learning Semantic Descriptions of Web Information Sources. 2695-2700 - Chandrasekar Ramachandran, Thanukrishnan Srinivasan:
An Improved Probabilistic Ant based Clustering for Distributed Databases. 2701-2706 - Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa:
Change of Representation for Statistical Relational Learning. 2719-2726 - Doug Downey, Matthew Broadhead, Oren Etzioni:
Locating Complex Named Entities in Web Text. 2733-2739 - Doug Downey, Susan T. Dumais, Eric Horvitz:
Models of Searching and Browsing: Languages, Studies, and Application. 2740-2747 - Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli:
An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering. 2748-2753 - Akinori Fujino, Naonori Ueda, Kazumi Saito:
Semi-Supervised Learning for Multi-Component Data Classification. 2754-2759 - Osamu Furuse, Nobuaki Hiroshima, Setsuo Yamada, Ryoji Kataoka:
Opinion Sentence Search Engine on Open-Domain Blog. 2760-2765 - Marco Gori, Augusto Pucci:
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines. 2766-2771 - Conor Hayes, Paolo Avesani, Sriharsha Veeramachaneni:
An Analysis of the Use of Tags in a Blog Recommender System. 2772-2777 - Shehroz S. Khan, Shri Kant:
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation. 2784-2789 - Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau:
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection. 2790-2795 - Kenichi Kurihara, Max Welling, Yee Whye Teh:
Collapsed Variational Dirichlet Process Mixture Models. 2796-2801 - Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. 2802-2807 - Qingzhong Liu, Andrew H. Sung:
Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images. 2808-2813 - David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.:
Improving Activity Discovery with Automatic Neighborhood Estimation. 2814-2819 - Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo:
Extracting Keyphrases to Represent Relations in Social Networks from Web. 2820-2827 - John O'Donovan, Barry Smyth, Vesile Evrim, Dennis McLeod:
Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments. 2826-2831 - Marius Pasca, Benjamin Van Durme:
What You Seek Is What You Get: Extraction of Class Attributes from Query Logs. 2832-2837 - Katharina Probst, Rayid Ghani, Marko Krema, Andrew E. Fano, Yan Liu:
Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions. 2838-2843 - Michael S. Ryoo, Jake K. Aggarwal:
Robust Human-Computer Interaction System Guiding a User by Providing Feedback. 2850-2855 - Giovanni Semeraro, Marco Degemmis, Pasquale Lops, Pierpaolo Basile:
Combining Learning and Word Sense Disambiguation for Intelligent User Profiling. 2856-2861 - Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen:
Document Summarization Using Conditional Random Fields. 2862-2867 - Jianqiang Shen, Lida Li, Thomas G. Dietterich:
Real-Time Detection of Task Switches of Desktop Users. 2868-2873 - Sargur N. Srihari, Rohini K. Srihari, Pavithra Babu, Harish Srinivasan:
On the Automatic Scoring of Handwritten Essays. 2880-2884 - Takamasa Tanaka, Kenji Shoji, Fubito Toyama, Juichi Miyamichi:
Layout Analysis of Tree-Structured Scene Frames in Comic Images. 2885-2890 - Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh:
Face Recognition via the Overlapping Energy Histogram. 2891-2896 - Paola Velardi, Roberto Navigli, Michaël Petit:
Semantic Indexing of a Competence Map to Support Scientific Collaboration in a Research Community. 2897-2902 - Xiaojun Wan, Jianwu Yang, Jianguo Xiao:
Manifold-Ranking Based Topic-Focused Multi-Document Summarization. 2903-2908 - Yuichiro Yonebayashi, Hirokazu Kameoka, Shigeki Sagayama:
Automatic Decision of Piano Fingering Based on a Hidden Markov Models. 2915-2921 - Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu:
Semantic Smoothing of Document Models for Agglomerative Clustering. 2928-2933
maintained by 
at 
at 
last updated on 2018-07-12 22:12 CEST by the dblp team
data released under the ODC-BY 1.0 license
see also: Terms of Use | Privacy Policy | Imprint