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

9783642029059, 9783642029066

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Marginals of DAG-Isomorphic Independence Models

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

10.1007/978-3-642-02906-6_18 ◽

2009 ◽

pp. 192-203

Author(s):

Peter R. de Waal

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Exploring Extensions of Possibilistic Logic over Gödel Logic

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

10.1007/978-3-642-02906-6_79 ◽

2009 ◽

pp. 923-934 ◽

Cited By ~ 1

Author(s):

Pilar Dellunde ◽

Lluís Godo ◽

Enrico Marchioni

Keyword(s):

Gödel Logic ◽

Possibilistic Logic

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On the Convergence with Fixed Regulator in Residuated Structures

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

10.1007/978-3-642-02906-6_77 ◽

2009 ◽

pp. 899-910

Author(s):

Lavinia Corina Ciungu

Keyword(s):

Residuated Structures

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Probabilistic Reasoning by SAT Solvers

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

10.1007/978-3-642-02906-6_57 ◽

2009 ◽

pp. 663-675 ◽

Cited By ~ 2

Author(s):

Emad Saad

Keyword(s):

Probabilistic Reasoning ◽

Sat Solvers

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Merging Belief Bases Represented by Logic Programs

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

10.1007/978-3-642-02906-6_33 ◽

2009 ◽

pp. 371-382 ◽

Cited By ~ 6

Author(s):

Julien Hué ◽

Odile Papini ◽

Eric Würbel

Keyword(s):

Logic Programs ◽

Belief Bases

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Using Logic to Understand Relations between DSmT and Dempster-Shafer Theory

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

10.1007/978-3-642-02906-6_24 ◽

2009 ◽

pp. 264-274 ◽

Cited By ~ 4

Author(s):

Laurence Cholvy

Keyword(s):

Dempster Shafer Theory ◽

Shafer Theory

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Binary Probability Trees for Bayesian Networks Inference

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

10.1007/978-3-642-02906-6_17 ◽

2009 ◽

pp. 180-191 ◽

Cited By ~ 1

Author(s):

Andrés Cano ◽

Manuel Gómez-Olmedo ◽

Serafín Moral

Keyword(s):

Bayesian Networks ◽

Probability Trees

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A Bayesian Random Split to Build Ensembles of Classification Trees

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

10.1007/978-3-642-02906-6_41 ◽

2009 ◽

pp. 469-480

Author(s):

Andrés Cano ◽

Andrés R. Masegosa ◽

Serafín Moral

Keyword(s):

Classification Trees

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A Generalization of the Pignistic Transform for Partial Bet

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

10.1007/978-3-642-02906-6_23 ◽

2009 ◽

pp. 252-263 ◽

Cited By ~ 1

Author(s):

Thomas Burger ◽

Alice Caplier

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Non-deterministic Distance Semantics for Handling Incomplete and Inconsistent Data

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

10.1007/978-3-642-02906-6_68 ◽

2009 ◽

pp. 793-804

Author(s):

Ofer Arieli ◽

Anna Zamansky

Keyword(s):

Inconsistent Data

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Marginals of DAG-Isomorphic Independence Models

Exploring Extensions of Possibilistic Logic over Gödel Logic

On the Convergence with Fixed Regulator in Residuated Structures

Probabilistic Reasoning by SAT Solvers

Merging Belief Bases Represented by Logic Programs

Using Logic to Understand Relations between DSmT and Dempster-Shafer Theory

Binary Probability Trees for Bayesian Networks Inference

A Bayesian Random Split to Build Ensembles of Classification Trees

A Generalization of the Pignistic Transform for Partial Bet

Non-deterministic Distance Semantics for Handling Incomplete and Inconsistent Data

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