ICMLA 2009: Miami Beach, Florida, USA

Machine Learning in Image Processing

• Johannes Hartz:
  Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures. 5-11
  
• Yiming Wu, Xiuwen Liu, Washington Mio:
  Linear Representation Learning Using Sphere Factor Analysis. 12-17
  
• Sharif M. A. Bhuiyan, Jesmin F. Khan, Nii O. Attoh-Okine, Reza R. Adhami:
  Study of Bidimensional Empirical Mode Decomposition Method for Various Radial Basis Function Surface Interpolators. 18-24
  
• Jukka Perkiö, Tinne Tuytelaars, Wray L. Buntine:
  Exploring Scale-Induced Feature Hierarchies in Natural Images. 25-31
  

Machine Learning in Multimedia

• Omar Arif, Patricio A. Vela:
  Robust Target Localization and Segmentation Using Graph Cut, KPCA and Mean-Shift. 35-40
  
• Yangfeng Ji, Tong Lin, Hongbin Zha:
  Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. 41-46
  
• Jonathan T. Purnell, Malik Magdon-Ismail:
  Learning American English Accents Using Ensemble Learning with GMMs. 47-52
  
• Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern:
  A Syllable-Level Probabilistic Framework for Bird Species Identification. 53-59
  

Feature Extraction, Selection, and Neural Networks

• Benjamin Labbé, Romain Hérault, Clément Chatelain:
  Learning Deep Neural Networks for High Dimensional Output Problems. 63-68
  
• Mani Malekesmaeili, Mehrdad Fatourechi, Rabab K. Ward:
  Video Copy Detection Using Temporally Informative Representative Images. 69-74
  
• Aleksey Fadeev, Oualid Missaoui, Hichem Frigui:
  Dominant Audio Descriptors for Audio Classification and Retrieval. 75-78
  

Evolutionary Algorithms and Genetic Programming

• Ryouei Takahashi:
  A Hybrid Method of Genetic Algorithms and Ant Colony Optimization to Solve the Traveling Salesman Problem. 81-88
  
• Pietari Pulkkinen:
  A Multiobjective Genetic Fuzzy System for Obtaining Compact and Accurate Fuzzy Classifiers with Transparent Fuzzy Partitions. 89-94
  
• Onay Urfalioglu, Orhan Arikan:
  Randomized and Rank Based Differential Evolution. 95-100
  
• Fatemeh Vafaee, Peter C. Nelson:
  A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model. 101-107
  

Statistical Learning

• Bert C. Huang, Tony Jebara:
  Exact Graph Structure Estimation with Degree Priors. 111-118
  
• Lipi R. Acharya, Dongxiao Zhu:
  Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models. 119-124
  
• Nacim Fateh Chikhi, Bernard Rothenburger, Nathalie Aussenac-Gilles:
  Community Structure Identification: A Probabilistic Approach. 125-130
  
• Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alexander Gammerman:
  Conditional Prediction Intervals for Linear Regression. 131-138
  

Supervised Learning

• Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik:
  Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. 141-146
  
• Jeroen H. M. Janssens, Ildikó Flesch, Eric O. Postma:
  Outlier Detection with One-Class Classifiers from ML and KDD. 147-153
  
• Ansaf Salleb-Aouissi, Bert C. Huang, David L. Waltz:
  Discovering Characterization Rules from Rankings. 154-161
  
• Manuel Loth, Philippe Preux, Samuel Delepoulle, Christophe Renaud:
  ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. 162-169
  
• Aydin Ulas, Olcay Taner Yildiz:
  An Incremental Model Selection Algorithm Based on Cross-Validation for Finding the Architecture of a Hidden Markov Model on Hand Gesture Data Sets. 170-177
  
• Oualid Missaoui, Hichem Frigui, Paul D. Gader:
  Discriminative Multi-stream Discrete Hidden Markov Models. 178-183
  
• Luca Cazzanti, Maya R. Gupta:
  Regularizing the Local Similarity Discriminant Analysis Classifier. 184-189
  
• Lijun Zhang, Hichem Frigui, Paul D. Gader:
  Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning. 190-195
  
• Thashmee Karunaratne, Henrik Boström:
  Graph Propositionalization for Random Forests. 196-201
  
• Sandeep K. Namilikonda, Nihar R. Mahapatra:
  An Instance-Based Learning Approach for Available-Memory Non-minimal Cost-Bounded Search. 202-207
  
• Ingo Glöckner:
  Finding Answer Passages with Rank Optimizing Decision Trees. 208-214
  

Feature Selection and Clustering

• Bing Yin, Greg Hamerly:
  Hierarchical Stability-Based Model Selection for Clustering Algorithms. 217-222
  
• Sambu Seo, Johannes Mohr, Klaus Obermayer:
  A New Incremental Pairwise Clustering Algorithm. 223-228
  
• Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María:
  Sequence Segmentation via Clustering of Subsequences. 229-234
  
• Taghi M. Khoshgoftaar, Kehan Gao:
  Feature Selection with Imbalanced Data for Software Defect Prediction. 235-240
  
• Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano:
  Wrapper-Based Feature Ranking for Software Engineering Metrics. 241-246
  
• Sherif Abdelazeem:
  A Novel Domain-Specific Feature Extraction Scheme for Arabic Handwritten Digits Recognition. 247-252
  

Text Mining

• Jian Zhang, Shobhit S. Shakya:
  Knowledge Transfer for Feature Generation in Document Classification. 255-260
  
• Cristina Giannone, Danilo Croce, Roberto Basili:
  Semantic Word Spaces for Robust Role Labeling. 261-266
  
• Keita Imada, Katsuhiko Nakamura:
  Learning Context Free Grammars by Using SAT Solvers. 267-272
  
• Chris H. Q. Ding, Tao Li, Dingding Wang:
  Label Propagation on K-partite Graphs. 273-278
  

Support Vector Machines

• Pannagadatta K. Shivaswamy, Tony Jebara:
  Structured Prediction with Relative Margin. 281-287
  
• Alexey Nefedov, Jiankuan Ye, Casimir A. Kulikowski, Ilya B. Muchnik, Kenton Morgan:
  Comparative Analysis of Support Vector Machines Based on Linear and Quadratic Optimization Criteria. 288-293
  
• Khaled Boukharouba, Laurent Bako, Stéphane Lecoeuche:
  Incremental and Decremental Multi-category Classification by Support Vector Machines. 294-300
  
• Andrew Howard, Tony Jebara:
  Transformation Learning Via Kernel Alignment. 301-308
  

Reinforcement Learning

• Tim C. Kietzmann, Martin Riedmiller:
  The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. 311-316
  
• Stéphane Ross, Masoumeh T. Izadi, Mark Mercer, David L. Buckeridge:
  Sensitivity Analysis of POMDP Value Functions. 317-323
  
• Mark Kroon, Shimon Whiteson:
  Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs. 324-330
  
• Alejandro Agostini, Enric Celaya:
  Exploiting Domain Symmetries in Reinforcement Learning with Continuous State and Action Spaces. 331-336
  
• Marek Grzes, Daniel Kudenko:
  Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. 337-344
  
• Scott Proper, Prasad Tadepalli:
  Multiagent Transfer Learning via Assignment-Based Decomposition. 345-350
  

Applications

• Sangoh Jeong, Swaroop Kalasapur, Doreen Cheng, Henry Song, Hyuk Cho:
  Clustering and Naive Bayesian Approaches for Situation-Aware Recommendation on Mobile Devices. 353-358
  
• Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta, Albert Boulanger:
  Ranking Electrical Feeders of the New York Power Grid. 359-365
  
• Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly:
  Conditional Random Fields for Rock Characterization Using Drill Measurements. 366-371
  
• Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël:
  Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning. 372-377
  
• Haoming Xu, John James Collins:
  Estimating the Odometry Error of a Mobile Robot by Neural Networks. 378-385
  
• Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle:
  Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. 386-391
  
• Kristof Van Laerhoven, Eugen Berlin, Bernt Schiele:
  Enabling Efficient Time Series Analysis for Wearable Activity Data. 392-397
  
• Guopeng Zhao, Zhiqi Shen, Chunyan Miao:
  ELM-Based Intelligent Resource Selection for Grid Scheduling. 398-403
  
• Yasin Yilmaz, Suleyman Serdar Kozat:
  An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. 404-408
  
• Christos Dimitrakakis, Aikaterini Mitrokotsa:
  Statistical Decision Making for Authentication and Intrusion Detection. 409-414
  
• Pretesh B. Patel, Tshilidzi Marwala:
  Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification. 415-420
  

ICMLA Challenge: Machine Learning in Functional Clustering

• Dario García-García, Raúl Santos-Rodríguez:
  Spectral Clustering and Feature Selection for Microarray Data. 425-428
  
• Meir Perez, Jonathan Featherston, David M. Rubin, Tshilidzi Marwala, Lesley E. Scott, Wendy Stevens:
  Differentially Expressed Gene Identification Based on Separability Index. 429-434
  
• Ilia Nouretdinov, Brian Burford, Alexander Gammerman:
  Application of Inductive Confidence Machine to ICMLA Competition Data. 435-438
  
• Aleksey Fadeev, Oualid Missaoui, Hichem Frigui:
  Ensemble Possibilistic K-NN for Functional Clustering of Gene Expression Profiles in Human Cancers Challenge. 439-442
  
• Rami N. Mahdi, Eric C. Rouchka:
  Feature Selection in Cancer Classification from mRNA Data Based on Localized Dimension Reduction. 443-448
  

Special Session: Machine Learning Methods for Modeling Treatment Outcomes in Cancer and Radiation Therapy

• Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge:
  Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy. 451-456
  
• Hao Howard Zhang, Leyuan Shi, Robert R. Meyer, Warren D. D'Souza:
  Machine Learning for Modeling Dose-Related Organ-at-Risk Complications after Radiation Therapy. 457-462
  
• Warren D. D'Souza, Kathleen Malinowski, Hao Howard Zhang:
  Machine Learning for Intra-Fraction Tumor Motion Modeling with Respiratory Surrogates. 463-467
  
• Ruijiang Li, John H. Lewis, Steve B. Jiang:
  Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. 468-472
  
• Xun Jia, Yifei Lou, Ruijiang Li, Xuejun Gu, John Levis, Steve B. Jiang:
  A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. 473-477
  
• Jung Hun Oh, Rawan Al-Lozi, Issam El-Naqa:
  Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients. 478-483
  
• Jung Hun Oh, Issam El-Naqa:
  Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. 484-488
  
• Jorg Rottmann, Michalis Aristophanous, Sang-June Park, Aileen Chen, Ross Berbeco:
  Multi-Region Tracking for Lung Tumor Motion Assessment. 489-493
  
• Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens:
  Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. 494-497
  
• Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy:
  Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk. 498-503
  
• Weerayuth Chanapai, Panrasee Ritthipravat:
  Adaptive Thresholding based on SOM Technique for Semi-Automatic NPC Image Segmentation. 504-508
  
• Leif E. Peterson:
  Maximum Likelihood Logistic Regression Using Metaheuristics. 509-514
  

Special Session: Machine Learning in System Security

• Tiago A. Almeida, Akebo Yamakami, Jurandy Almeida:
  Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters. 517-522
  
• Melissa Danforth:
  Towards a Classifying Artificial Immune System for Web Server Attacks. 523-527
  
• Miho Itoh:
  Contextual Analysis Processing Able to Interpret Coherence of Knowledge Representations Related to Reputation. 528-535
  

Machine Learning Applications in Bioinformatics and Computational Biology

• Yi Zhang, Erliang Zeng, Tao Li, Giri Narasimhan:
  Weighted Consensus Clustering for Identifying Functional Modules in Protein-Protein Interaction Networks. 539-544
  
• Rukshan Batuwita, Vasile Palade:
  A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems. 545-550
  
• Raúl Santos-Rodríguez, Dario García-García, Jesús Cid-Sueiro:
  Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. 551-556
  
• Helyane Bronoski Borges, Júlio C. Nievola:
  Dimensionality Reduction in Gene Expression Database through the Random Projection Method. 557-562
  
• Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner:
  Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure. 563-567
  

Special Session: Machine Learning with Multimedia Data

• Roberto Paredes, Adrian Ulges, Thomas M. Breuel:
  Fast Discriminative Linear Models for Scalable Video Tagging. 571-576
  
• Maria-Cristina Marinescu, Rafael Ramirez:
  A Timing-Based Classification Method for Human Voice in Opera Recordings. 577-582
  
• Daniel Gärtner, Christian Dittmar:
  Vocal Characteristics Classification of Audio Segments: An Investigation of the Influence of Accompaniment Music on Low-Level Features. 583-589
  
• Adrian Weller, Daniel P. W. Ellis, Tony Jebara:
  Structured Prediction Models for Chord Transcription of Music Audio. 590-595
  
• Liping Zhou, Chengcui Zhang, Wen Wan, Jeffrey B. Birch, Wei-bang Chen:
  An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching. 596-601
  
• Ching-Wei Chen, Kyogu Lee, Ho-Hsiang Wu:
  Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval. 602-607
  

Special Session: Machine Learning in Energy Applications

• Ilhami Colak, Mehmet Demirtas, Gungor Bal, Hamdi Tolga Kahraman:
  A Parameter Determination System for Wind Turbines Based on Naive Bayes Classification Algorithm. 611-616
  
• Hasan H. Onder:
  An Expert System to Estimate the Capacity of Harvesting Energy from Biogas and its Capacity in TRNC. 617-622
  
• N. T. Isembergenov, B. T. Matkarimov:
  Using Genetic Algorithm for Finding Switching Angles of a Single-Phase Multilevel DC/AC Converter on Solar Modules. 623-625
  
• Seref Sagiroglu, Ramazan Bayindir, Orhan Kaplan, Hamdi Tolga Kahraman:
  Development of an Intelligent Decision Support System for Determining the Efficiency of Shunt Active Power Filter. 626-631
  
• Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel:
  Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. 632-637
  
• Fujio Kurokawa, Hidenori Maruta, Tomoyuki Mizoguchi, Akihiro Nakamura, Hiroyuki Osuga:
  A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor. 638-643
  
• Silviu Ionita:
  Multi Agent Holonic Based Architecture for Communication and Learning about Power Demand in Residential Areas. 644-649
  

Poster Papers

• R. Mahesh K. Sinha:
  Learning Disambiguation of Hindi Morpheme 'vaalaa' with a Sparse Corpus. 653-657
  
• Stéphan Clémençon, Marine Depecker, Nicolas Vayatis:
  Bagging Ranking Trees. 658-663
  
• Eren Esgin, Pinar Senkul:
  A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart. 664-668
  
• Ilhami Colak, Ramazan Bayindir, Hamdi Tolga Kahraman, Mehmet Yesilbudak:
  Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor. 669-672
  
• Jirí Isa, Zuzana Reitermanová, Ondrej Sýkora:
  On the Complexity of General Solution DAGs. 673-678
  
• Yuheng He, Attila Michael Bilgic:
  Learning Geographic Regions using Location Based Services in Next Generation Networks. 679-684
  
• Feras Al-Obeidat, Nabil Belacel, Prabhat Mahanti, Juan A. Carretero:
  Discretization Techniques and Genetic Algorithm for Learning the Classification Method PROAFTN. 685-688
  
• Nistor Grozavu, Younès Bennani:
  A New Competitive Strategy for Self Organizing Map Learning. 689-692
  
• Amany Abdelhalim, Issa Traoré:
  A New Method for Learning Decision Trees from Rules. 693-698
  
• William Lyles, Winard Britt, David M. Bevly:
  Evolution of Parameters for an Autonomous Canine Control Algorithm. 699-704
  
• Yan Tang, Kunwu Feng, Kendra Cooper, João W. Cangussu:
  Requirement Engineering Techniques Selection and Modeling. 705-709
  
• Kevin Dela Rosa, Jeffrey Ellen:
  Text Classification Methodologies Applied to Micro-Text in Military Chat. 710-714
  
• Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli:
  Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems. 715-718
  
• Axinia Radeva, Cynthia Rudin, Rebecca J. Passonneau, Delfina Isaac:
  Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task. 719-724
  
• Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross:
  Alive on Back-feed Culprit Identification via Machine Learning. 725-730
  
• Wei Fan, Toyohide Watanabe, Koichi Asakura:
  Mining Interesting Ratio Patterns over a Stream Sliding Window. 731-734
  
• Iyad Batal, Milos Hauskrecht:
  A Supervised Time Series Feature Extraction Technique Using DCT and DWT. 735-739
  
• Gürsel Serpen, Santhosh Pathical:
  Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble. 740-745
  
• Ricardo Sousa, Beatriz Mora, Jaime S. Cardoso:
  An Ordinal Data Method for the Classification with Reject Option. 746-750
  
• Yalcin Durmusoglu, Tanzer Satir, Cengiz Deniz, Alper Kilic:
  A Novel Energy Saving and Power Production System Performance Analysis in Marine Power Plant Using Waste Heat. 751-754
  
• Sirvan Khalighi, Parisa Tirdad, Hamid R. Rabiee, Mehdi Parviz:
  A Novel OCR System for Calculating Handwritten Persian Arithmetic Expressions. 755-758
  
• Yannick Le Bras, Philippe Lenca, Sorin Moga, Stéphane Lallich:
  All-Monotony: A Generalization of the All-Confidence Antimonotony. 759-764
  
• Emna Bahri, Stéphane Lallich:
  Improving Prediction by Weighting Class Association Rules. 765-770
  
• Sampath Deegalla, Henrik Boström:
  Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification. 771-775
  
• Po-Hsiang Chiu, Manfred Huber:
  Clustering Similar Actions in Sequential Decision Processes. 776-781
  
• Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale Niranjan, Sai Susarla:
  Discovering Rules from Disk Events for Predicting Hard Drive Failures. 782-786
  
• Ramazan Bayindir, Ilhami Colak, Ersan Kabalci, Erdal Irmak:
  The Fuzzy Logic Control of a Multilevel Converter in a Variable Speed Wind Turbine. 787-790
  
• Fawad Jamshed, Christian R. Huyck:
  Grounding Symbols: Labelling and Resolving Pronoun Resolution with fLIF Neurons. 791-794
  
• Arunkumar Balakrishnan:
  Development of an Ontology of Learning Strategies and its Application to Generate Open Learner Models. 795-798
  
• Cesar Souza, Ednaldo Pizzolato, Renata Mendes, Audrey Borghi-Silva, Mauricio Machado, Paulo Correa:
  Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent to Coronary Artery Bypass Graft Surgery. 799-803
  

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