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

9783540573692, 9783540480938

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Some improved sample complexity bounds in the probabilistic PAC learning model

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_40 ◽

1993 ◽

pp. 208-219 ◽

Cited By ~ 2

Author(s):

Jun-ichi Takeuchi

Keyword(s):

Learning Model ◽

Pac Learning ◽

Sample Complexity ◽

Complexity Bounds ◽

Pac Learning Model

A stochastic approach to genetic information processing

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_25 ◽

1993 ◽

pp. 25-36 ◽

Cited By ~ 2

Author(s):

Akihiko Konagaya

Keyword(s):

Information Processing ◽

Genetic Information ◽

Stochastic Approach ◽

Genetic Information Processing

Iterative weighted least squares algorithms for neural networks classifiers

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_29 ◽

1993 ◽

pp. 75-86 ◽

Cited By ~ 2

Author(s):

Takio Kurita

Keyword(s):

Neural Networks ◽

Least Squares ◽

Weighted Least Squares

Polynomial-time MAT learning of multilinear logic programs

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_28 ◽

1993 ◽

pp. 63-74

Author(s):

Kimihito Ito ◽

Akihiro Yamamoto

Keyword(s):

Polynomial Time ◽

Logic Programs

Notes on the PAC learning of geometric concepts with additional information

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_44 ◽

1993 ◽

pp. 252-259 ◽

Cited By ~ 1

Author(s):

Ken-ichiro Kakihara ◽

Hiroshi Imai

Keyword(s):

Pac Learning ◽

Additional Information ◽

Geometric Concepts

Prudence in vacillatory language identification (Extended abstract)

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_36 ◽

1993 ◽

pp. 159-168 ◽

Cited By ~ 1

Author(s):

Sanjay Jain ◽

Arun Sharma

Keyword(s):

Language Identification

Domains of attraction in autoassociative memory networks for character pattern recognition

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_30 ◽

1993 ◽

pp. 87-98

Author(s):

Koichi Niijima

Keyword(s):

Pattern Recognition ◽

Domains Of Attraction

A note on the query complexity of learning DFA

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_27 ◽

1993 ◽

pp. 53-62 ◽

Cited By ~ 3

Author(s):

José L. Balcázar ◽

Josep Díaz ◽

Ricard Gavaldà ◽

Osamu Watanabe

Keyword(s):

Query Complexity

An application of Bernstein polynomials in PAC model

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_41 ◽

1993 ◽

pp. 220-228

Author(s):

Masahiro Matsuoka

Keyword(s):

Bernstein Polynomials ◽

Pac Model

On PAC learnability of functional dependencies

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-57369-0_42 ◽

1993 ◽

pp. 229-239 ◽

Cited By ~ 1

Author(s):

Tatsuya Akutsu ◽

Atsuhiro Takasu

Keyword(s):

Functional Dependencies

Lecture Notes in Computer Science - Algorithmic Learning TheoryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Some improved sample complexity bounds in the probabilistic PAC learning model

A stochastic approach to genetic information processing

Iterative weighted least squares algorithms for neural networks classifiers

Polynomial-time MAT learning of multilinear logic programs

Notes on the PAC learning of geometric concepts with additional information

Prudence in vacillatory language identification (Extended abstract)

Domains of attraction in autoassociative memory networks for character pattern recognition

A note on the query complexity of learning DFA

An application of Bernstein polynomials in PAC model

On PAC learnability of functional dependencies

Lecture Notes in Computer Science - Algorithmic Learning Theory
Latest Publications