Machine Learning, Volume 32, 1998

Volume 32, Number 1, July 1998

Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves for Temporal Difference Learning. 5-40
Shai Fine, Yoram Singer, Naftali Tishby: The Hierarchical Hidden Markov Model: Analysis and Applications. 41-62
Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten: Using Model Trees for Classification. 63-76

Gerhard Widmer, Miroslav Kubat: Guest Editors' Introduction. 83-84
Javier R. Movellan, Paul Mineiro: Robust Sensor Fusion: Analysis and Application to Audio Visual Speech Recognition. 85-100
Michael Bonnell Harries, Claude Sammut, Kim Horn: Extracting Hidden Context. 101-126
Peter Auer, Manfred K. Warmuth: Tracking the Best Disjunction. 127-150
Mark Herbster, Manfred K. Warmuth: Tracking the Best Expert. 151-178
Renato Vicente, Osame Kinouchi, Nestor Caticha: Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach. 179-201

Shai Ben-David, Michael Lindenbaum: Localization vs. Identification of Semi-Algebraic Sets. 207-224
Jordan B. Pollack, Alan D. Blair: Co-Evolution in the Successful Learning of Backgammon Strategy. 225-240
Gerald Tesauro: Comments on ``Co-Evolution in the Successful Learning of Backgammon Strategy''. 241-243
Prasad Tadepalli, Stuart J. Russell: Learning from Examples and Membership Queries with Structured Determinations. 245-295