Lecture Notes in Computer Science - Algorithmic Learning Theory
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer Berlin Heidelberg

9783540618638, 9783540707196

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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

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):

Decision Trees

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 ◽

Cited By ~ 7

Author(s):

Rohan A. Baxter ◽

Jonathan J. Oliver

Keyword(s):

Minimum Message Length ◽

Message Length

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 ◽

Cited By ~ 1

Author(s):

Atsuyoshi Nakamura

Keyword(s):

Query Learning ◽

Bounded Width

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 ◽

Exclusive Or

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 ◽

Cited By ~ 9

Author(s):

David L. Dowe ◽

Jonathan J. Oliver ◽

Chris S. Wallace

Keyword(s):

Fisher Distribution

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 ◽

Cited By ~ 2

Author(s):

John Case ◽

Sanjay Jain ◽

Frank Stephan

Keyword(s):

Noisy Data

Limits of exact algorithms for inference of minimum size finite state machines

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_34 ◽

1996 ◽

pp. 59-66 ◽

Cited By ~ 6

Author(s):

Arlindo L. Oliveira ◽

Stephen Edwards

Keyword(s):

Finite State Machines ◽

Exact Algorithms ◽

Minimum Size ◽

State Machines ◽

Finite State

Transformations that preserve learnability

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_54 ◽

1996 ◽

pp. 299-311 ◽

Cited By ~ 1

Author(s):

Andris Ambainis ◽

Rūsiņs Freivalds

Inductive inference of unbounded unions of pattern languages from positive data

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_51 ◽

1996 ◽

pp. 256-271 ◽

Cited By ~ 4

Author(s):

Takeshi Shinohara ◽

Hiroki Arimura

Keyword(s):

Inductive Inference ◽

Pattern Languages ◽

Positive Data

Lecture Notes in Computer Science - Algorithmic Learning TheoryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Inductive logic programming beyond logical implication

Reducing complexity of decision trees with two variable tests

The kindest cut: Minimum message length segmentation

Query learning of bounded-width OBDDs

Learnability of exclusive-or expansion based on monotone DNF formulas

MML estimation of the parameters of the spherical fisher distribution

Vacillatory and BC learning on noisy data

Limits of exact algorithms for inference of minimum size finite state machines

Transformations that preserve learnability

Inductive inference of unbounded unions of pattern languages from positive data

Lecture Notes in Computer Science - Algorithmic Learning Theory
Latest Publications