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Machine Learning, Volume 32, 1998

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Volume 32, Number 1, July 1998

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

Volume 32, Number 2, August 1998

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

Volume 32, Number 3, September 1998

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

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