MLJ 2004

42 papers

A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000 Peter van der Putten, Maarten van Someren

A K-Median Algorithm with Running Time Independent of Data Size Adam Meyerson, Liadan O'Callaghan, Serge A. Plotkin

A Meta-Learning Method to Select the Kernel Width in Support Vector Regression Carlos Soares, Pavel Brazdil, Petr Kuba

A New Conceptual Clustering Framework Nina Mishra, Dana Ron, Ram Swaminathan

A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis Abhijit Gosavi

Active Sampling for Class Probability Estimation and Ranking Maytal Saar-Tsechansky, Foster J. Provost

ART: A Hybrid Classification Model Fernando Berzal Galiano, Juan C. Cubero, Daniel Sánchez, José-María Serrano

Bagging Equalizes Influence Yves Grandvalet

Benchmarking Least Squares Support Vector Machine Classifiers Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle

Central Clustering of Attributed Graphs Brijnesh J. Jain, Fritz Wysotzki

Classification Using Phi-Machines and Constructive Function Approximation Doina Precup, Paul E. Utgoff

Clustering Large Graphs via the Singular Value Decomposition Petros Drineas, Alan M. Frieze, Ravi Kannan, Santosh S. Vempala, V. Vinay

Compact Representation of Knowledge Bases in Inductive Logic Programming Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel

Correlation Clustering Nikhil Bansal, Avrim Blum, Shuchi Chawla

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach

DeEPs: A New Instance-Based Lazy Discovery and Classification System Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao, Limsoon Wong

Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering Ying Zhao, George Karypis

Fast Theta-Subsumption with Constraint Satisfaction Algorithms Jérôme Maloberti, Michèle Sebag

Functional Trees João Gama

How to Better Use Expert Advice Rani Yaroshinsky, Ran El-Yaniv, Steven S. Seiden

Inducing Multi-Level Association Rules from Multiple Relations Francesca A. Lisi, Donato Malerba

Induction as Consequence Finding Katsumi Inoue

Integrating Guidance into Relational Reinforcement Learning Kurt Driessens, Saso Dzeroski

Introduction to the Special Issue on Meta-Learning Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans

Is Combining Classifiers with Stacking Better than Selecting the Best One? Saso Dzeroski, Bernard Zenko

Kernels and Distances for Structured Data Thomas Gärtner, John W. Lloyd, Peter A. Flach

Khiops: A Statistical Discretization Method of Continuous Attributes Marc Boullé

Learning to Decode Cognitive States from Brain Images Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman

Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff

Lessons and Challenges from Mining Retail E-Commerce Data Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng

Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang

Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics Mark-A. Krogel, Tobias Scheffer

Naive Bayesian Classification of Structured Data Peter A. Flach, Nicolas Lachiche

On Data and Algorithms: Understanding Inductive Performance Alexandros Kalousis, João Gama, Melanie Hilario

Optimal Ordered Problem Solver Jürgen Schmidhuber

Optimal Time Bounds for Approximate Clustering Ramgopal R. Mettu, C. Greg Plaxton

Projection Support Vector Machine Generators Francisco J. González-Castaño, Ubaldo M. García-Palomares, Robert R. Meyer

Selective Sampling for Nearest Neighbor Classifiers Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov

Semi-Supervised Learning on Riemannian Manifolds Mikhail Belkin, Partha Niyogi

Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces Allan Borodin, Rafail Ostrovsky, Yuval Rabani

Support Vector Data Description David M. J. Tax, Robert P. W. Duin