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

9783540618638, 9783540707196

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Inductive logic programming beyond logical implication

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_46 ◽

1996 ◽

pp. 185-198

Author(s):

Jianguo Lu ◽

Jun Arima

Keyword(s):

Logic Programming ◽

Inductive Logic Programming ◽

Inductive Logic ◽

Logical Implication

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Reducing complexity of decision trees with two variable tests

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_37 ◽

1996 ◽

pp. 91-99

Author(s):

R. A. Pearson ◽

E. K. T. Smith

Keyword(s):

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The kindest cut: Minimum message length segmentation

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_36 ◽

1996 ◽

pp. 83-90 ◽

Author(s):

Rohan A. Baxter ◽

Jonathan J. Oliver

Keyword(s):

Minimum Message Length ◽

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Query learning of bounded-width OBDDs

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_32 ◽

1996 ◽

pp. 37-50 ◽

Author(s):

Atsuyoshi Nakamura

Keyword(s):

Query Learning ◽

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Learnability of exclusive-or expansion based on monotone DNF formulas

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_30 ◽

1996 ◽

pp. 12-25

Author(s):

Eiji Takimoto ◽

Yoshifumi Sakai ◽

Akira Maruoka

Keyword(s):

Dnf Formulas ◽

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MML estimation of the parameters of the spherical fisher distribution

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_48 ◽

1996 ◽

pp. 213-227 ◽

Author(s):

David L. Dowe ◽

Jonathan J. Oliver ◽

Chris S. Wallace

Keyword(s):

Fisher Distribution

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Vacillatory and BC learning on noisy data

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_53 ◽

1996 ◽

pp. 285-298 ◽

Author(s):

John Case ◽

Sanjay Jain ◽

Frank Stephan

Keyword(s):

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Genetic fitness optimization using rapidly mixing Markov chains

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_35 ◽

1996 ◽

pp. 67-82

Author(s):

Paul Vitányi

Keyword(s):

Markov Chains ◽

Genetic Fitness

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On learning and co-learning of minimal programs

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_50 ◽

1996 ◽

pp. 242-255 ◽

Author(s):

Sanjay Jain ◽

Efim Kinber ◽

Rolf Wiehagen

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Transformations that preserve learnability

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_54 ◽

1996 ◽

pp. 299-311 ◽

Author(s):

Andris Ambainis ◽

Rūsiņs Freivalds

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