Thursday, December 14, 2006
7:30 am 6:00pm	Registration
7:30am 8:55am	Breakfast
8:55am 9:00am	Opening Session
9:00am 10:00am	Invited Speaker : Professor John Lafferty, Carnegie Mellon University
10:00am 10:20am	Coffee Break
Room Coral A	Inductive and Machine Learning Classifiers
	Session Chair: M. Arif Wani
		PaperTitle	Authors
10:20am 12:20pm		Condition Monitoring Using Pattern Recognition Techniques on Data Acoustics Emissions	Siril Yella, Naren Gupta, and Mark Doughterty
		A New Machine Learning Technique Based on Straight Line Segments	João Henrique Burckas Ribeiro and Ronaldo Fumio Hashimoto
		Horizon Detection Using Machine Learning Techniques	Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, and Dmitry B. Goldgof
		Rule Extraction from Opaque Models - A Slightly Different Perspective	Ulf Johansson, Tuve Löfström, Rikard König, Cecilia Sönströd, and Lars Niklasson
		Off-line Signature Recognition and Verification by Kernel Principal Component Self-Regression	Bai-Ling Zhang
		Naive Bayes Classification Given Probability Estimation Trees	Zengchang Qin
12:20pm 02:00pm	Lunch Break
Room Coral A	Learning
	Session Chair: Necla Özkaya
02:00pm 03:40pm		An Efficient Heuristic for Discovering Multiple Ill-Defined Attributes in Datasets	Sylvain Hallé
		Lazy Rule Refinement by Knowledge-Based Agents	Cristina Boicu, Gheorghe Tecuci, and Mihai Boicu
		Semi-supervised Data Organization for Interactive Anomaly Analysis	Javed Aslam, Sergey Bratus, and Virgil Pavlu
		Incremental Learning by Decomposition	Abdelhamid Bouchachia
		Market Mechanism Designs with Heterogeneous Trading Agents	Zengchang Qin
03:40pm 04:00pm	Coffee Break
Room Coral A	Applications I
	Session Chair: Seref Sagiroglu
04:00pm 06:00pm		An Intelligent Automatic Fingerprint Recognition	Necla Özkaya, Seref Sagiroglu, and M. Arif Wani
		Application of Reinforcement earning in Development of a New Adaptive Intelligent Traffic Shaper Networks	Iman Shames, Nima Najmaei, Mohammad Zamani, and A.A. Safavi
		Regression Databases: Probabilistic Querying Using Sparse Learning Sets	Alexander Brodsky, Carlotta Domeniconi, and David Etter
		Explaining Winning Poker - A Data Mining Approach	Ulf Johansson, Cecilia Sönströd, and Lars Niklasson
		A Comparison of Software Fault Imputation Procedures	Jason Van Hulse, Taghi M. Khoshgoftaar, and Chris Seiffert
		Web Robot Learning Powered by Bluetooth Communication System	Seref Sagiroglu, Nihat Yilmaz, and M. Arif Wani
		Formal Concept Analysis for Digital Ecosystem	Huaiguo Fu
06:00pm 07:00pm	Poster Session I Paper IDs: 117, 129, 138, 140, 143, 152, 118, 128, 139, 148, 153, 121, 124, 127, 141,150, 176, 2, 3, 10, 11, 12, 17
Friday, December 15, 2006
7:30 am 6:00pm	Registration
7:30am 9:00am	Breakfast
9:00am 10:00am	Invited Speaker : Dr. Vasile Palade, University of Oxford, UK
10:00am 10:20am	Coffee Break
Room Coral A	Machine Learning Applications in Bioinformatics, Computational Biology and Medicine
	Session Chair: Taghi Khoshgoftaar
		PaperTitle	Authors
10:20am 12:20pm		An Accurate and Robust Missing Value Estimation for Microarray Data Least Absolute Deviation Imputation	Yi Cao and Kim Leng Poh
		A New Scheme for Nucleotide Sequence Signature Extraction	Sung-Soo Kim, Chan-Hee Lee, Keon Myung Lee, and Sung-Duk Lee
		A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding	Elena Marchiori, Walter Pirovano, Jaap Heringa, and K. Anton Feenstra
		Automatic Intravital Video Mining of Rolling and Adhering Leukocytes	Xin C. Anders, Chengoui Zhang, and Hong Yuan
		Ensemble Classifiers for Medical Diagnosis of Knee Osteoarthritis Using Gait Data	Nigar Sen Köktas, Nese Yalabik, and Günes Yavuzer
		Quantization of Global Gene Expression Data	Tae-Moon Chung, Marcel Brun, and Seungchan Kim
12:20pm 02:00pm	Lunch Break
Room Coral A	Machine Learning Applications in Bioinformatics, Computational Biology and Medicine
	Session Chair: Tao Li
02:00pm 03:00pm		Robust Model Selection Using Cross Validation: A Simple Iterative Technique for Developing Robust Gene Signatures in Biomedical Genomics Applications	Venkatesh, Charles Rowland, Hongjin Huang, Olivia. T. Abar and John Sninsky
		Prediction of Antisense Oligonucleotide Efficiency Using Local and Global Information with Support Vector Machine	Roger Craig and Li Liao
		Information of Binding Sites Improves Prediction of Protein Interaction	Tapan Patel, Manoj Pillay, Rahul Jawa, and Li Liao
Room Coral A	Evolutionar Mathods
	Session Chair: Tao Li
03:00pm 03:40pm		An Adaptable Time Warping Distance for Time Series Learning	Remi Gaudin and Nicolas Nicoloyannis
		Introducing Emergent Loose Modules into the Learning Process of a Linear Genetic Programming System	Xin Li, Chi Zhou, Weimin Xiao, and Peter C. Nelson
03:40pm 04:00pm	Coffee Break
4:00pm 5:00pm	Invited Speaker : Dr. Wei Fan, IBM T. J. Watson Research
Room Coral A	Text and Multimedia Learning
	Session Chair: Taghi Khoshgoftaar
05:00pm 06:00pm		Detecting Web Content Function Using Generalized Hidden Markov Model	Jinlin Chen, Ping Zhong, and Terry Cook
		Trend Analysis for Large Document Streams	Chengliang Zhang, Shenghuo Zhang, and Yihong Gong
		Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions	Qi Li and Chandra Kambhamettu
06:00pm 07:00pm	Poster Session II Paper IDs: 18, 180, 182, 126, 173, 145, 156, 172, 119, 179, 159, 107, 130, 168, 101, 114, 166, 135, 146, 149, 160, 178
7:00pm 9:00pm	Conference Dinner and Best Paper Awards
Saturday, December 16, 2006
07:30am 12:20pm	Registration
7:30am 9:00am	Breakfast
9:00am 10:00am	Workshop
10:00am 10:20am	Coffee Break
Room Coral A	Feature Extraction, Selection and Clustering
	Session Chair: Seref Sagiroglu
		PaperTitle	Authors
10:20am 12:20pm		An Approximate Version of Kernel PCA	Shawn Martin
		Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification	Sampath Deegalla and Henrik Boström
		A Fast Feature Selection Model for Online Handwriting Symbol Recognition	B. Q. Huang and M. T. Kechadi
		TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams	Joel W. Reed, Yu Jiao, Thomas E. Potok, Brian A. Klump, Mark T. Elmore, and Ali R. Hurson
		A Printing Workflow Recommendation Tool - Exploiting Correlations between Highly Sparse Case Logs	Ming Zhong and Tong Sun
		Learning the Threshold in Hierarchical Agglomerative Clustering	Kristine Daniels and Christophe Giraud-Carrier
12:20pm 02:00pm	Lunch Break
Room Coral A	Support Vector Machines
	Session Chair: Necla Özkaya
02:00pm 03:40pm		Supernova Recognition Using Support Vector Machines	Raquel R. Romano, Cecilia R. Aragon, and Chris Ding
		On L1-Norm Multi-class Support Vector Machines	Lifeng Wang, Xiaotong Shen, and Yuan F. Zheng
		Two-Level Hierarchical Hybrid SVM-RVM Classification Model	Catarina Silva and Bernardete Ribeiro
		Modeling Hesitation and Conflict: A Belief-Based Approach for Multi-class Problems	Thomas Burger, Oya Aran, and Alice Caplier
		Shape Recognition and Retrieval Using String of Symbols	Mohammad Reza Daliri and Vincent Torre
3:40pm 3:45pm	Closing Session
03:45pm 04:00pm	Coffee