MLJ 1998

44 papers

A Note on Learning from Multiple-Instance Examples Avrim Blum, Adam Kalai

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots Sebastian Thrun, Wolfram Burgard, Dieter Fox

Analytical Mean Squared Error Curves for Temporal Difference Learning Satinder Singh, Peter Dayan

Bayesian Landmark Learning for Mobile Robot Localization Sebastian Thrun

Choice of Basis for Laplace Approximation David J. C. MacKay

Co-Evolution in the Successful Learning of Backgammon Strategy Jordan B. Pollack, Alan D. Blair

Colearning in Differential Games John W. Sheppard

Comments on "Co-Evolution in the Successful Learning of Backgammon Strategy" Gerald Tesauro

Conjectural Equilibrium in Multiagent Learning Michael P. Wellman, Junling Hu

Elevator Group Control Using Multiple Reinforcement Learning Agents Robert H. Crites, Andrew G. Barto

Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction Luc Berthouze, Yasuo Kuniyoshi

Extracting Hidden Context Michael Bonnell Harries, Claude Sammut, Kim Horn

Fast Online Q(lambda) Marco A. Wiering, Jürgen Schmidhuber

Hardness Results for Learning First-Order Representations and Programming by Demonstration William W. Cohen

Hierarchical Learning of Navigational Behaviors in an Autonomous Robot Using a Predictive Sparse Distributed Memory Rajesh P. N. Rao, Olac Fuentes

Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity Yongwon Lee, Bruce G. Buchanan, John M. Aronis

Learning Coordination Strategies for Cooperative Multiagent Systems Fenton Ho, Mohamed Kamel

Learning Dextrous Manipulation Skills for Multifingered Robot Hands Using the Evolution Strategy Olac Fuentes, Randal C. Nelson

Learning from Examples and Membership Queries with Structured Determinations Prasad Tadepalli, Stuart Russell

Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions François Michaud, Maja J. Mataric

Learning from Innate Behaviors: A Quantitative Evaluation of Neural Network Controllers Noel E. Sharkey

Learning in the " Real World" Lorenza Saitta, Filippo Neri

Learning Team Strategies: Soccer Case Studies Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber

Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments Toshiharu Sugawara, Victor R. Lesser

Learning to Recognize and Grasp Objects Josef Pauli

Learning to Recognize Volcanoes on Venus Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele

Localization vs. Identification of Semi-Algebraic Sets Shai Ben-David, Michael Lindenbaum

Machine Learning for the Detection of Oil Spills in Satellite Radar Images Miroslav Kubat, Robert C. Holte, Stan Matwin

Module-Based Reinforcement Learning: Experiments with a Real Robot Zsolt Kalmár, Csaba Szepesvári, András Lörincz

On Restricted-Focus-of-Attention Learnability of Boolean Functions Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jackson, Norbert Klasner, Hans Ulrich Simon

PAC Learning Axis-Aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples Philip M. Long, Lei Tan

Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL Paul W. Finn, Stephen H. Muggleton, David Page, Ashwin Srinivasan

Prequential and Cross-Validated Regression Estimation Dharmendra S. Modha, Elias Masry

Rapid Concept Learning for Mobile Robots Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli

Robust Sensor Fusion: Analysis and Application to Audio Visual Speech Recognition Javier R. Movellan, Paul Mineiro

Self Calibration of the Fixation Movement of a Stereo Camera Head Mike Pagel, Eric Maël, Christoph von der Malsburg

Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning Shai Ben-David, Nadav Eiron

Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach Renato Vicente, Osame Kinouchi, Nestor Caticha

Strong Minimax Lower Bounds for Learning András Antos, Gábor Lugosi

The Hierarchical Hidden Markov Model: Analysis and Applications Shai Fine, Yoram Singer, Naftali Tishby

Tracking the Best Disjunction Peter Auer, Manfred K. Warmuth

Tracking the Best Expert Mark Herbster, Manfred K. Warmuth

Training a Vision Guided Mobile Robot Gordon F. Wyeth

Using Model Trees for Classification Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten