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Machine Learning, Volume 63, 2006

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Volume 63, Number 1, April 2006

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  - journals/ml/GeurtsEW06
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Pierre Geurts, Damien Ernst, Louis Wehenkel:
Extremely randomized trees. 3-42
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  - journals/ml/XuG06
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Mingyang Xu, Michael Golay:
Data-guided model combination by decomposition and aggregation. 43-67
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  - journals/ml/ZhangKY06
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Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Model-based transductive learning of the kernel matrix. 69-101

Volume 63, Number 2, May 2006

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Vladislav B. Tadic:
Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes. 107-133
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  - journals/ml/LangsethN06
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Helge Langseth, Thomas D. Nielsen:
Classification using Hierarchical Naïve Bayes models. 135-159
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Rosa I. Arriaga, Santosh S. Vempala:
An algorithmic theory of learning: Robust concepts and random projection. 161-182
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Michael Rimer, Tony R. Martinez:
Classification-based objective functions. 183-205

Volume 63, Number 3, June 2006

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  - journals/ml/BowlingFGM06
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Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick:
Machine learning and games. 211-215
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Pieter Spronck, Marc J. V. Ponsen, Ida G. Sprinkhuizen-Kuyper, Eric O. Postma:
Adaptive game AI with dynamic scripting. 217-248
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Levente Kocsis, Csaba Szepesvári:
Universal parameter optimisation in games based on SPSA. 249-286
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Asaf Amit, Shaul Markovitch:
Learning to bid in bridge. 287-327
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  - journals/ml/SadikovB06
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Aleksander Sadikov, Ivan Bratko:
Learning long-term chess strategies from databases. 329-340

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