Lecture Notes in Computer Science - Computational Learning Theory
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Published By Springer Berlin Heidelberg

9783540438366, 9783540454359

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Predictive Complexity and Information

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_7 ◽

2002 ◽

pp. 90-105 ◽

Author(s):

Michael V. Vyugin ◽

Vladimir V. V’yugin

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Inferring Deterministic Linear Languages

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_13 ◽

2002 ◽

pp. 185-200 ◽

Author(s):

Colin de la Higuera ◽

Jose Oncina

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Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_25 ◽

2002 ◽

pp. 364-379 ◽

Author(s):

Marcus Hutter

Keyword(s):

Pareto Optimal ◽

Optimal Policies

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A Consistent Strategy for Boosting Algorithms

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_21 ◽

2002 ◽

pp. 303-319 ◽

Author(s):

Gábor Lugosi ◽

Nicolas Vayatis

Keyword(s):

Boosting Algorithms

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Mixability and the Existence of Weak Complexities

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_8 ◽

2002 ◽

pp. 105-120 ◽

Author(s):

Yuri Kalnishkan ◽

Michael V. Vyugin

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Maximizing the Margin with Boosting

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_23 ◽

2002 ◽

pp. 334-350 ◽

Author(s):

Gunnar Rätsch ◽

Manfred K. Warmuth

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Geometric Parameters of Kernel Machines

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_3 ◽

2002 ◽

pp. 29-43 ◽

Author(s):

Shahar Mendelson

Keyword(s):

Geometric Parameters ◽

Kernel Machines

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Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables from Positive Data

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_12 ◽

2002 ◽

pp. 169-184 ◽

Author(s):

Yusuke Suzuki ◽

Ryuta Akanuma ◽

Takayoshi Shoudai ◽

Tetsuhiro Miyahara ◽

Tomoyuki Uchida

Keyword(s):

Polynomial Time ◽

Inductive Inference ◽

Tree Patterns ◽

Positive Data ◽

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PAC Bounds for Multi-armed Bandit and Markov Decision Processes

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_18 ◽

2002 ◽

pp. 255-270 ◽

Author(s):

Eyal Even-Dar ◽

Shie Mannor ◽

Yishay Mansour

Keyword(s):

Markov Decision Processes ◽

Decision Processes ◽

Markov Decision

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Entropy, Combinatorial Dimensions and Random Averages

Lecture Notes in Computer Science - Computational Learning Theory ◽

10.1007/3-540-45435-7_2 ◽

2002 ◽

pp. 14-28 ◽

Author(s):

Shahar Mendelson ◽

Roman Vershynin

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