Analogical and Inductive Inference - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540560043, 9783540473398

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Background knowledge and declarative bias in inductive concept learning

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_4 ◽

1992 ◽

pp. 51-71 ◽

Cited By ~ 2

Author(s):

Nada Lavrač ◽

Sašo Džeroski

Keyword(s):

Concept Learning ◽

Background Knowledge ◽

Declarative Bias

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The power of probabilism in Popperian FINite learning

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_11 ◽

1992 ◽

pp. 151-169 ◽

Cited By ~ 5

Author(s):

Robert Daley ◽

Bala Kalyanasundaram ◽

Mahe Velauthapillai

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Too much information can be too much for learning efficiently

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_5 ◽

1992 ◽

pp. 72-86 ◽

Cited By ~ 2

Author(s):

Rolf Wiehagen ◽

Thomas Zeugmann

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Representing the spatial/kinematic domain and lattice computers

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_1 ◽

1992 ◽

pp. 1-25

Author(s):

John Case ◽

Dayanand S. Rajan ◽

Anil M. Shende

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Predictive analogy and cognition

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_15 ◽

1992 ◽

pp. 214-231 ◽

Cited By ~ 2

Author(s):

Bipin Indurkhya

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A model of the ‘redescription’ process in the context of geometric proportional analogy problems

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_19 ◽

1992 ◽

pp. 268-293 ◽

Cited By ~ 6

Author(s):

Scott O'Hara

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A solution of the credit assignment problem in the case of learning rectangles

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_2 ◽

1992 ◽

pp. 26-34

Author(s):

Zhixiang Chen ◽

Wolfgang Maass

Keyword(s):

Assignment Problem ◽

Credit Assignment

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Some experiments with a learning procedure

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_6 ◽

1992 ◽

pp. 87-98

Author(s):

Kurt Ammon

Keyword(s):

Learning Procedure

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Unions of identifiable classes of total recursive functions

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_7 ◽

1992 ◽

pp. 99-107 ◽

Cited By ~ 6

Author(s):

Kalvis Apsītis ◽

Rūsinš Freivalds ◽

Mārtinš Krikis ◽

Raimonds Simanovskis ◽

Juris Smotrovs

Keyword(s):

Recursive Functions

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A unifying approach to monotonic language learning on informant

Analogical and Inductive Inference - Lecture Notes in Computer Science ◽

10.1007/3-540-56004-1_17 ◽

1992 ◽

pp. 244-259 ◽

Cited By ~ 1

Author(s):

Steffen Lange ◽

Thomas Zeugmann

Keyword(s):

Language Learning

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Analogical and Inductive Inference - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Background knowledge and declarative bias in inductive concept learning

The power of probabilism in Popperian FINite learning

Too much information can be too much for learning efficiently

Representing the spatial/kinematic domain and lattice computers

Predictive analogy and cognition

A model of the ‘redescription’ process in the context of geometric proportional analogy problems

A solution of the credit assignment problem in the case of learning rectangles

Some experiments with a learning procedure

Unions of identifiable classes of total recursive functions

A unifying approach to monotonic language learning on informant

Analogical and Inductive Inference - Lecture Notes in Computer Science
Latest Publications