Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty
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Published By Springer Berlin Heidelberg

9783540546597, 9783540464266

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A New approach to inference under uncertainty for knowledge based systems

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_74 ◽

1991 ◽

pp. 107-114 ◽

Cited By ~ 5

Author(s):

J. F. Baldwin

Keyword(s):

Knowledge Based Systems ◽

New Approach ◽

Knowledge Based

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A tableau-based characterisation for default logic

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_107 ◽

1991 ◽

pp. 310-317 ◽

Cited By ~ 14

Author(s):

Camilla B. Schwind ◽

Vincent Risch

Keyword(s):

Default Logic

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Every complex system can be determined by a causal probabilistic network without cycles and every such network determines a Markov field

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_98 ◽

1991 ◽

pp. 262-266

Author(s):

Ulrich G. Oppel

Keyword(s):

Complex System ◽

Probabilistic Network ◽

Markov Field

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Hierarchical default logic

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_96 ◽

1991 ◽

pp. 246-253 ◽

Cited By ~ 5

Author(s):

Craig MacNish

Keyword(s):

Default Logic

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Fuzzy control research at Siemens Corporate R&D

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_90 ◽

1991 ◽

pp. 206-210 ◽

Cited By ~ 2

Author(s):

Hans Hellendoorn ◽

Michael Reinfrank

Keyword(s):

Fuzzy Control ◽

Control Research

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Assessment of qualitative judgements for conditional events in expert systems

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_79 ◽

1991 ◽

pp. 135-140 ◽

Cited By ~ 5

Author(s):

G. Coletti ◽

A. Gilio ◽

R. Scozzafava

Keyword(s):

Expert Systems ◽

Conditional Events

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Learning with CASTLE

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_73 ◽

1991 ◽

pp. 97-106 ◽

Cited By ~ 11

Author(s):

S. Acid ◽

L. M. Campos ◽

A. González ◽

R. Molina ◽

N. Pérez de la Blanca

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Graded default logics

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_68 ◽

1991 ◽

pp. 70-75 ◽

Cited By ~ 2

Author(s):

Christine Froidevaux ◽

Philippe Chatalic ◽

Jérôme Mengin

Keyword(s):

Default Logics

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Introduction

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_60 ◽

1991 ◽

pp. 29-32

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An entity-relationship approach to the modelling of vagueness in databases

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty ◽

10.1007/3-540-54659-6_112 ◽

1991 ◽

pp. 338-343 ◽

Cited By ~ 4

Author(s):

R. M. Vandenberghe ◽

R. M. Caluwe

Keyword(s):

Entity Relationship

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Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to UncertaintyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A New approach to inference under uncertainty for knowledge based systems

A tableau-based characterisation for default logic

Every complex system can be determined by a causal probabilistic network without cycles and every such network determines a Markov field

Hierarchical default logic

Fuzzy control research at Siemens Corporate R&D

Assessment of qualitative judgements for conditional events in expert systems

Learning with CASTLE

Graded default logics

Introduction

An entity-relationship approach to the modelling of vagueness in databases

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Uncertainty
Latest Publications