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

9783540292425, 9783540316961

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The Robot Scientist Project

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_4 ◽

2005 ◽

pp. 12-12

Author(s):

Ross D. King

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The Arrowsmith Project: 2005 Status Report

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_3 ◽

2005 ◽

pp. 11-11

Author(s):

Neil R. Smalheiser

Keyword(s):

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Online Allocation with Risk Information

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_27 ◽

2005 ◽

pp. 343-355 ◽

Author(s):

Shigeaki Harada ◽

Eiji Takimoto ◽

Akira Maruoka

Keyword(s):

Risk Information

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A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_25 ◽

2005 ◽

pp. 312-326

Author(s):

M. R. K. Krishna Rao

Keyword(s):

Positive Data ◽

Prolog Programs

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Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_17 ◽

2005 ◽

pp. 198-210 ◽

Author(s):

Wolfgang Lindner

Keyword(s):

Uniform Distribution ◽

Proper Distance

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Learning Attribute-Efficiently with Corrupt Oracles

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_16 ◽

2005 ◽

pp. 183-197

Author(s):

Rotem Bennet ◽

Nader H. Bshouty

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Algorithms for Learning Regular Expressions

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_24 ◽

2005 ◽

pp. 297-311 ◽

Author(s):

Henning Fernau

Keyword(s):

Regular Expressions

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Stochastic Complexity for Mixture of Exponential Families in Variational Bayes

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_10 ◽

2005 ◽

pp. 107-121 ◽

Author(s):

Kazuho Watanabe ◽

Sumio Watanabe

Keyword(s):

Variational Bayes ◽

Exponential Families ◽

Stochastic Complexity

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Mixture of Vector Experts

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_30 ◽

2005 ◽

pp. 386-398

Author(s):

Matthew Henderson ◽

John Shawe-Taylor ◽

Janez Žerovnik

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On Following the Perturbed Leader in the Bandit Setting

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/11564089_29 ◽

2005 ◽

pp. 371-385 ◽

Author(s):

Jussi Kujala ◽

Tapio Elomaa

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