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ORCID20th PKDD / 27th ECML 2016: Riva del Garda, Italy
- Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9852, Springer 2016, ISBN 978-3-319-46226-4 - Sheng Wang
, Siqi Sun, Jinbo Xu:
AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling. 1-16 - Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula:
A Novel Incremental Covariance-Guided One-Class Support Vector Machine. 17-32 - Michelangelo Diligenti, Marco Gori, Vincenzo Scoca:
Learning Efficiently in Semantic Based Regularization. 33-46 - Matt Revelle, Carlotta Domeniconi, Aditya Johri:
Persistent Roles in Online Social Networks. 47-62 - Shigeyuki Odashima, Miwa Ueki, Naoyuki Sawasaki:
A Split-Merge DP-means Algorithm to Avoid Local Minima. 63-78 - Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer:
Efficient Distributed Decision Trees for Robust Regression. 79-95 - Ali Pesaranghader, Herna L. Viktor:
Fast Hoeffding Drift Detection Method for Evolving Data Streams. 96-111 - Yilin Shen, Rui Chen, Hongxia Jin:
Differentially Private User Data Perturbation with Multi-level Privacy Controls. 112-128 - Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet:
On Dynamic Feature Weighting for Feature Drifting Data Streams. 129-144 - Duc-Trong Le, Yuan Fang, Hady Wirawan Lauw:
Modeling Sequential Preferences with Dynamic User and Context Factors. 145-161 - Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. 162-178 - Tim Leathart, Bernhard Pfahringer, Eibe Frank:
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. 179-194 - Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum:
Credible Review Detection with Limited Information Using Consistency Features. 195-213 - Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback. 214-229 - Masamichi Shimosaka, Takeshi Tsukiji, Shoji Tominaga, Kota Tsubouchi:
Coupled Hierarchical Dirichlet Process Mixtures for Simultaneous Clustering and Topic Modeling. 230-246 - Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu:
Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model. 247-264 - Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Learning Distributed Representations of Users for Source Detection in Online Social Networks. 265-281 - Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Linear Bandits in Unknown Environments. 282-298 - Tom Hope, Dafna Shahaf:
Ballpark Learning: Estimating Labels from Rough Group Comparisons. 299-314 - John O. R. Aoga, Tias Guns, Pierre Schaus:
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming. 315-330 - Lei Hou, Juan-Zi Li, Xiaoli Li, Jianbin Jin:
Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test. 331-346 - Jon Parkinson, Ubai Sandouk, Ke Chen:
Exploring a Mixed Representation for Encoding Temporal Coherence. 347-360 - Alper Demir, Erkin Çilden, Faruk Polat:
Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning. 361-376 - Ruifei Cui, Perry Groot, Tom Heskes:
Copula PC Algorithm for Causal Discovery from Mixed Data. 377-392 - Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Selecting Collaborative Filtering Algorithms Using Metalearning. 393-409 - Jaroslav M. Fowkes, Charles Sutton:
A Bayesian Network Model for Interesting Itemsets. 410-425 - Dimitrios Rafailidis, Fabio Crestani:
Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning. 426-441 - Sarah Nogueira, Gavin Brown:
Measuring the Stability of Feature Selection. 442-457 - Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu:
Aspect Mining with Rating Bias. 458-474 - Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun:
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. 475-491 - Hao Song, Meelis Kull, Peter A. Flach, Georgios Kalogridis:
Subgroup Discovery with Proper Scoring Rules. 492-510 - Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier:
Consistency of Probabilistic Classifier Trees. 511-526 - Phillip Odom, Sriraam Natarajan:
Actively Interacting with Experts: A Probabilistic Logic Approach. 527-542 - Daniel J. Perry, Ross T. Whitaker:
Augmented Leverage Score Sampling with Bounds. 543-558 - Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer:
Anti Imitation-Based Policy Learning. 559-575 - Sanjar Karaev, Pauli Miettinen:
Cancer: Another Algorithm for Subtropical Matrix Factorization. 576-592 - Andrea Visentin, Steven D. Prestwich, S. Armagan Tarim:
Robust Principal Component Analysis by Reverse Iterative Linear Programming. 593-605 - Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. 606-622 - Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang:
M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. 623-640 - Aniket Chakrabarti, Bortik Bandyopadhyay, Srinivasan Parthasarathy:
Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels. 641-656 - John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb:
Continuous Kernel Learning. 657-673 - Polina Rozenshtein, Aristides Gionis:
Temporal PageRank. 674-689 - Han Xiao, Polina Rozenshtein, Aristides Gionis:
Discovering Topically- and Temporally-Coherent Events in Interaction Networks. 690-705 - Seungwhan Moon, Jaime G. Carbonell:
Proactive Transfer Learning for Heterogeneous Feature and Label Spaces. 706-721 - Jiangtao Yin, Lixin Gao:
Asynchronous Distributed Incremental Computation on Evolving Graphs. 722-738 - Roberto C. S. N. P. Souza, Renato M. Assunção, Derick M. de Oliveira, Denise E. F. de Brito, Wagner Meira Jr.:
Infection Hot Spot Mining from Social Media Trajectories. 739-755 - Vitalik Melnikov, Eyke Hüllermeier:
Learning to Aggregate Using Uninorms. 756-771 - Gang Chen, Ran Xu, Sargur N. Srihari:
Sequential Labeling with Online Deep Learning: Exploring Model Initialization. 772-788 - Naruemon Pratanwanich, Pietro Liò, Oliver Stegle:
Warped Matrix Factorisation for Multi-view Data Integration. 789-804 - Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock:
Communication-Efficient Distributed Online Learning with Kernels. 805-819
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