JMLR 2002

52 papers

Policy Search using Paired Comparisons

Malcolm J. A. Strens, Andrew W. Moore

Learning to Construct Fast Signal Processing Implementations

Bryan Singer, Manuela Veloso

Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem

Marc Sebban, Richard Nock, Stéphane Lallich

Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling

Tobias Scheffer, Stefan Wrobel

Lyapunov Design for Safe Reinforcement Learning

Theodore J. Perkins, Andrew G. Barto

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels

Prasanth B. Nair, Arindam Choudhury, Andy J. Keane

Coupled Clustering: A Method for Detecting Structural Correspondence

Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir

The Set Covering Machine

Mario Marchand, John Shawe-Taylor

The Representational Power of Discrete Bayesian Networks

Charles X. Ling, Huajie Zhang

Learning Probabilistic Models of Link Structure

Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar

Multiple-Instance Learning of Real-Valued Data

Daniel R. Dooly, Qi Zhang, Sally A. Goldman, Robert A. Amar

Efficient Algorithms for Decision Tree Cross-validation

Hendrik Blockeel, Jan Struyf

Special Issue on the Eighteenth International Conference on Machine Learning (ICML2001)

Carla E. Brodley, Andrea P. Danyluk

Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions

Alexander Strehl, Joydeep Ghosh

A Robust Minimax Approach to Classification

Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan

Optimal Structure Identification With Greedy Search

David Maxwell Chickering

On Boosting with Polynomially Bounded Distributions

Nader H. Bshouty, Dmitry Gavinsky

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

Peter L. Bartlett, Shahar Mendelson

Limitations of Learning Via Embeddings in Euclidean Half Spaces

Shai Ben-David, Nadav Eiron, Hans Ulrich Simon

Efficient Algorithms for Universal Portfolios

Adam Kalai, Santosh Vempala

Using Confidence Bounds for Exploitation-Exploration Trade-offs

Peter Auer

Tracking a Small Set of Experts by Mixing Past Posteriors

Olivier Bousquet, Manfred K. Warmuth

Introduction to the Special Issue on Computational Learning Theory

Philip M. Long

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces

Masashi Sugiyama, Klaus-Robert Müller

Minimal Kernel Classifiers

Glenn M. Fung, Olvi L. Mangasarian, Alexander J. Smola

On Online Learning of Decision Lists

Ziv Nevo, Ran El-Yaniv

PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification

Matthias Seeger

R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning

Ronen I. Brafman, Moshe Tennenholtz

Algorithmic Luckiness

Ralf Herbrich, Robert C. Williamson

ε-MDPs: Learning in Varying Environments

István Szita, Bálint Takács, Andras Lorincz

Learning Precise Timing with LSTM Recurrent Networks

Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski

Data-dependent margin-based generalization bounds for classification

András Antos, Balázs Kégl, Tamás Linder, Gabor Lugosi

On the Convergence of Optimistic Policy Iteration

John N. Tsitsiklis

Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries

Nader H. Bshouty, Nadav Eiron

Kernel Independent Component Analysis

Francis R. Bach, Michael I. Jordan

Round Robin Classification

Johannes Fürnkranz

Shallow Parsing using Noisy and Non-Stationary Training Material

Miles Osborne

Learning Rules and Their Exceptions

Hervé Déjean

Shallow Parsing with PoS Taggers and Linguistic Features

Beata Megyesi

Text Chunking based on a Generalization of Winnow

Tong Zhang, Fred Damerau, David Johnson

Shallow Parsing using Specialized HMMs

Antonio Molina, Ferran Pla

Memory-Based Shallow Parsing

Erik F. Tjong Kim Sang

Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing

James Hammerton, Miles Osborne, Susan Armstrong, Walter Daelemans

Covering Number Bounds of Certain Regularized Linear Function Classes

Tong Zhang

Stability and Generalization

Olivier Bousquet, André Elisseeff

Learning Equivalence Classes of Bayesian-Network Structures

David Maxwell Chickering

Text Classification using String Kernels

Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Chris Watkins

The Learning-Curve Sampling Method Applied to Model-Based Clustering

Christopher Meek, Bo Thiesson, David Heckerman

On Using Extended Statistical Queries to Avoid Membership Queries

Nader H. Bshouty, Vitaly Feldman

Machine Learning with Data Dependent Hypothesis Classes

Adam Cannon, J. Mark Ettinger, Don Hush, Clint Scovel

Recommender Systems Using Linear Classifiers

Tong Zhang, Vijay S. Iyengar