Lecture Notes in Computer Science - Methodologies for Intelligent Systems
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63

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Published By Springer Berlin Heidelberg

9783540545637, 9783540384663

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Hybrid pattern recognition system capable of self-modification

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_97 ◽

1991 ◽

pp. 338-347

Author(s):

Charles W. Glover ◽

E. M. Oblow ◽

Nageswara S. V. Rao

Keyword(s):

Pattern Recognition ◽

Recognition System ◽

Pattern Recognition System

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Towards an adaptive information retrieval system

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_98 ◽

1991 ◽

pp. 348-357 ◽

Author(s):

A. Goker ◽

T. L. McCluskey

Keyword(s):

Information Retrieval ◽

Retrieval System ◽

Information Retrieval System ◽

Adaptive Information Retrieval

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Explanation-based learning helps acquire knowledge from natural language texts

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_96 ◽

1991 ◽

pp. 326-337

Author(s):

Sylvain Delisle ◽

Stan Matwin ◽

Jiandong Wang ◽

Lionel Zupan

Keyword(s):

Natural Language ◽

Explanation Based Learning

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On the representation of continuous causal relationships

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_82 ◽

1991 ◽

pp. 183-192

Author(s):

Bei-Tseng B. Chu

Keyword(s):

Causal Relationships

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Typicality constants and range defaults: Some pros and cons of a cognitive model of default reasoning

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_119 ◽

1991 ◽

pp. 560-569 ◽

Author(s):

Michael J. Miller ◽

Donald Perlis

Keyword(s):

Cognitive Model ◽

Default Reasoning ◽

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Graded logics: A framework for uncertain and defeasible knowledge

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_111 ◽

1991 ◽

pp. 479-489 ◽

Author(s):

Philippe Chatalic ◽

Christine Froidevaux

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Amalgamated logic programming and non-monotonic reasoning

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_108 ◽

1991 ◽

pp. 450-458

Author(s):

Seiki Akama

Keyword(s):

Logic Programming

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A new system for inductive learning in attribute-based spaces

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_101 ◽

1991 ◽

pp. 378-388

Author(s):

Cezary Z. Janikow

Keyword(s):

Inductive Learning ◽

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Knowledge extraction from databases: Design principles of the INLEN system

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_79 ◽

1991 ◽

pp. 152-161

Author(s):

Kenneth A. Kaufman ◽

Ryszard S. Michalski ◽

Larry Kerschberg

Keyword(s):

Design Principles ◽

Knowledge Extraction

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A study of crossover operators in genetic programming

Lecture Notes in Computer Science - Methodologies for Intelligent Systems ◽

10.1007/3-540-54563-8_104 ◽

1991 ◽

pp. 409-418 ◽

Author(s):

William M. Spears ◽

Vic Anand

Keyword(s):

Genetic Programming

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