Machine Learning Reading Group

Next meeting

Date	Paper	Discussion Leader
Wednesday 11/17, 9am	The Kernel-Adatron Algorithm: a Fast and Simple Learning Procedure for Support Vector Machines ICML 1998	Gabriel Wachman
Wednesday 10/27, 9am	Cyclic pattern kernels for predictive graph mining KDD04	Gabriel Wachman
Wednesday 10/20, 9am	User Re-Authentication via Mouse Movements (paper circulated)	Maja Pusara
Wednesday 10/6, 9am	DISTILL: Learning Domain-Specific Planners by Example ICML03	Alan Carlin
Wednesday 9/29, 9am	Learning to Map between Ontologieson the Semantic Web in WWW 02	Roni Khardon
Wednesday 9/22, 9am	Approximate Policy Iteration with a Policy Language Bias in NIPS 03	Saket Joshi

Previous Papers (Spring/Summer 2004)

Paper	Discussion Leader
Text Bundling: Statistics Based Data-Reduction	Roni Khardon
Stochastic Local Search in k-term DNF Learning	Marta Arias
Multi-Instance Learning Based Web-Mining	Kai Jiang
Using the Triangle Inequality to Accelerate k-Means	Wenting Zhou
A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data	Doug Stetson
Theory and Implenetation in Learning Logic	Marta Arias
Mismatch String Kernels for SVM Protein Classification	Peter Waltman
Inductive Policy Selection for First-Order Markov Decision Processes	Roni Khardon
New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. Michael Collins and Nigel Duffy. ACL 2002.	Gabriel Wachman
Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. Y. Freund, M. Kearns, Y. Mansour, D. Ron, R. Rubinfeld, and R. Schapire. FOCS 1995.	Jason Kroll
Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents (PKDD 2003)	Roni Khardon

Paper Sources

• Papers from International Conference on Machine Learning, 2003
• Machine Learning: ECML 2003
• Inductive Logic Programming: 12th International Conference, ILP 2002
• Knowledge Discovery in Databases: PKDD 2003
• Machine Learning Journal (forthcoming papers are free on-line)
• Journal of Machine Learning Research (JMLR)
• Journal of Artificial Intelligence Research (JAIR)

Concrete list to choose from so far only from ICML03 and PKDD03 (please feel free to suggest other papers):

• Perceptron Based Learning with Example Dependent and Noisy Costs
• Text Classification Using Stochastic Keyword Generation
• An Analysis of Rule Evaluation Metrics
• The Set Covering Machine with Data-Dependent Half-Spaces
• All papers following this item are from PKDD03 [please look through table of contents]
• Mr-SBC: A Multi-relational Naive Bayes Classifier (pp. 95 - 106)
• Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases (pp. 253 - 265)
• Using Transduction and Multi-view Learning to Answer Emails (pp. 266 - 277)
• The Pattern Ordering Problem (pp. 327 - 338)