Learning from Data - Lecture Notes in Statistics
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9780387947365, 9781461224044

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Solving Influence Diagrams Using Gibbs Sampling

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_6 ◽

1996 ◽

pp. 59-68

Author(s):

Ali Jenzarli

Keyword(s):

Gibbs Sampling ◽

Influence Diagrams

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A Further Comparison of Simplification Methods for Decision-Tree Induction

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_35 ◽

1996 ◽

pp. 365-374 ◽

Cited By ~ 14

Author(s):

Donato Malerba ◽

Floriana Esposito ◽

Giovanni Semeraro

Keyword(s):

Decision Tree ◽

Decision Tree Induction

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Learning Bayesian Networks Using Feature Selection

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_28 ◽

1996 ◽

pp. 291-300 ◽

Cited By ~ 12

Author(s):

Gregory M. Provan ◽

Moninder Singh

Keyword(s):

Feature Selection ◽

Bayesian Networks

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Picking the Best Expert from a Sequence

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_21 ◽

1996 ◽

pp. 219-227

Author(s):

Ruth Bergman ◽

Ronald L. Rivest

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Heuristic Search for Model Structure: the Benefits of Restraining Greed

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_13 ◽

1996 ◽

pp. 131-142 ◽

Cited By ~ 2

Author(s):

John F. Elder

Keyword(s):

Heuristic Search ◽

Model Structure

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Representing and Solving Asymmetric Decision Problems Using Valuation Networks

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_10 ◽

1996 ◽

pp. 99-108 ◽

Cited By ~ 2

Author(s):

Prakash P. Shenoy

Keyword(s):

Decision Problems

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A Hill-Climbing Approach for Optimizing Classification Trees

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_11 ◽

1996 ◽

pp. 109-117 ◽

Cited By ~ 1

Author(s):

Xiaorong Sun ◽

Steve Y. Chiu ◽

Louis Anthony Cox

Keyword(s):

Classification Trees ◽

Hill Climbing

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Data Representations in Learning

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_29 ◽

1996 ◽

pp. 301-310

Author(s):

Geetha Srikantan ◽

Sargur N. Srihari

Keyword(s):

Data Representations

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On Test Selection Strategies for Belief Networks

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_9 ◽

1996 ◽

pp. 89-98 ◽

Cited By ~ 9

Author(s):

David Madigan ◽

Russell G. Almond

Keyword(s):

Belief Networks ◽

Test Selection ◽

Selection Strategies

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Propagation of Gaussian belief functions

Learning from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2404-4_8 ◽

1996 ◽

pp. 79-88 ◽

Cited By ~ 1

Author(s):

Liping Liu

Keyword(s):

Belief Functions

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Learning from Data - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Solving Influence Diagrams Using Gibbs Sampling

A Further Comparison of Simplification Methods for Decision-Tree Induction

Learning Bayesian Networks Using Feature Selection

Picking the Best Expert from a Sequence

Heuristic Search for Model Structure: the Benefits of Restraining Greed

Representing and Solving Asymmetric Decision Problems Using Valuation Networks

A Hill-Climbing Approach for Optimizing Classification Trees

Data Representations in Learning

On Test Selection Strategies for Belief Networks

Propagation of Gaussian belief functions

Learning from Data - Lecture Notes in Statistics
Latest Publications