Lecture Notes in Computer Science - Foundations of Intelligent Systems
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Published By Springer Berlin Heidelberg

9783540636144, 9783540696124

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On multi-class problems and discretization in inductive logic programming

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_27 ◽

1997 ◽

pp. 277-286 ◽

Cited By ~ 14

Author(s):

Wim Laer ◽

Luc Raedt ◽

Sago Dzeroski

Keyword(s):

Logic Programming ◽

Inductive Logic Programming ◽

Inductive Logic

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Abstraction of representation for interoperation

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_43 ◽

1997 ◽

pp. 441-455 ◽

Cited By ~ 9

Author(s):

David A. Maluf ◽

Gio Wiederhold

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Verification and validation of AI systems that control deep-space spacecraft

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_3 ◽

1997 ◽

pp. 35-47 ◽

Cited By ~ 10

Author(s):

Michael Lowry ◽

Klaus Havelund ◽

John Penix

Keyword(s):

Verification And Validation ◽

Deep Space

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Completeness for linear regular negation normal form inference systems

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_57 ◽

1997 ◽

pp. 590-599 ◽

Cited By ~ 3

Author(s):

Reiner Hähnle ◽

Neil V. Murray ◽

Erik Rosenthal

Keyword(s):

Normal Form ◽

Inference Systems

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Boolean reasoning for feature extraction problems

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_11 ◽

1997 ◽

pp. 117-126 ◽

Cited By ~ 22

Author(s):

Hung Son Nguyen ◽

Andrzej Skowron

Keyword(s):

Feature Extraction

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A WordNet based rule generalization engine in meaning extraction system

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_51 ◽

1997 ◽

pp. 529-539

Author(s):

Joyce Yue Chai ◽

Alan W. Biermann

Keyword(s):

Extraction System

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An interactive constraint-based system for selective attention in visual search

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_42 ◽

1997 ◽

pp. 431-440 ◽

Cited By ~ 3

Author(s):

R. Cucchiara ◽

E. Lamma ◽

P. Mello ◽

M. Milano

Keyword(s):

Visual Search ◽

Selective Attention

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Generic and fully automatic content based image retrieval architecture

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_35 ◽

1997 ◽

pp. 360-369 ◽

Cited By ~ 1

Author(s):

Suresh K. Choubey ◽

Vijay V. Raghavan

Keyword(s):

Image Retrieval ◽

Content Based Image Retrieval ◽

Fully Automatic

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Induction of positive and negative deterministic rules based on rough set model

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_29 ◽

1997 ◽

pp. 298-307

Author(s):

Shusaku Tsumoto

Keyword(s):

Rough Set

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Discovering empirical equations from robot-collected data

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/3-540-63614-5_28 ◽

1997 ◽

pp. 287-297 ◽

Cited By ~ 3

Author(s):

Kuang-Ming Huang ◽

Jan M. Zytkowt

Keyword(s):

Empirical Equations

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Lecture Notes in Computer Science - Foundations of Intelligent SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

On multi-class problems and discretization in inductive logic programming

Abstraction of representation for interoperation

Verification and validation of AI systems that control deep-space spacecraft

Completeness for linear regular negation normal form inference systems

Boolean reasoning for feature extraction problems

A WordNet based rule generalization engine in meaning extraction system

An interactive constraint-based system for selective attention in visual search

Generic and fully automatic content based image retrieval architecture

Induction of positive and negative deterministic rules based on rough set model

Discovering empirical equations from robot-collected data

Lecture Notes in Computer Science - Foundations of Intelligent Systems
Latest Publications