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

9783540650133, 9783540497301

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PAC Learning from Positive Statistical Queries

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_9 ◽

1998 ◽

pp. 112-126 ◽

Cited By ~ 60

Author(s):

FranÇois Denis

Keyword(s):

Pac Learning ◽

Statistical Queries

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Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_6 ◽

1998 ◽

pp. 72-86

Author(s):

Marc Fischlin

Keyword(s):

Equivalence Queries

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Synthesizing Learners Tolerating Computable Noisy Data

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_16 ◽

1998 ◽

pp. 205-219 ◽

Cited By ~ 1

Author(s):

John Case ◽

Sanjay Jain

Keyword(s):

Noisy Data

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Learning from Entailment of Logic Programs with Local Variables

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_11 ◽

1998 ◽

pp. 143-157 ◽

Cited By ~ 7

Author(s):

M. R. K. Krishna Rao ◽

A. Sattar

Keyword(s):

Logic Programs

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Finding a One-Variable Pattern from Incomplete Data

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_18 ◽

1998 ◽

pp. 234-246

Author(s):

Hiroshi Sakamoto

Keyword(s):

Incomplete Data ◽

Variable Pattern

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Logical Aspects of Several Bottom-Up Fittings

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_12 ◽

1998 ◽

pp. 158-168 ◽

Cited By ~ 4

Author(s):

Akihiro Yamamoto

Keyword(s):

Bottom Up

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Scalability Issues in Inductive Logic Programming

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_2 ◽

1998 ◽

pp. 11-30 ◽

Cited By ~ 1

Author(s):

Stefan Wrobel

Keyword(s):

Logic Programming ◽

Inductive Logic Programming ◽

Inductive Logic

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Predictive Learning Models for Concept Drift

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_21 ◽

1998 ◽

pp. 276-290 ◽

Cited By ~ 2

Author(s):

John Case ◽

Sanjay Jain ◽

Susanne Kaufmann ◽

Arun Sharma ◽

Frank Stephan

Keyword(s):

Concept Drift ◽

Learning Models ◽

Predictive Learning

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Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_7 ◽

1998 ◽

pp. 87-102 ◽

Cited By ~ 3

Author(s):

Giovanna Melideo ◽

Stefano Varricchio

Keyword(s):

Equivalence Queries

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Towards the Validation of Inductive Learning Systems

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-49730-7_29 ◽

1998 ◽

pp. 409-423 ◽

Cited By ~ 1

Author(s):

Gunter Grieser ◽

Klaus P. Jantke ◽

Steffen Lange

Keyword(s):

Inductive Learning ◽

Learning Systems

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Lecture Notes in Computer Science - Algorithmic Learning TheoryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

PAC Learning from Positive Statistical Queries

Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions

Synthesizing Learners Tolerating Computable Noisy Data

Learning from Entailment of Logic Programs with Local Variables

Finding a One-Variable Pattern from Incomplete Data

Logical Aspects of Several Bottom-Up Fittings

Scalability Issues in Inductive Logic Programming

Predictive Learning Models for Concept Drift

Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries

Towards the Validation of Inductive Learning Systems

Lecture Notes in Computer Science - Algorithmic Learning Theory
Latest Publications