Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319283784, 9783319283791

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A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_5 ◽

2015 ◽

pp. 61-75

Author(s):

Yi Zuo ◽

Katsutoshi Yada ◽

Eisuke Kita

Keyword(s):

Bayesian Network ◽

Direct Observation ◽

Purchase Behavior ◽

Network Approach

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Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_14 ◽

2015 ◽

pp. 196-208 ◽

Author(s):

Takashi Isozaki ◽

Manabu Kuroki

Keyword(s):

Maximal Ancestral Graphs

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Constraint-Based Learning Bayesian Networks Using Bayes Factor

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_2 ◽

2015 ◽

pp. 15-31 ◽

Author(s):

Kazuki Natori ◽

Masaki Uto ◽

Yu Nishiyama ◽

Shuichi Kawano ◽

Maomi Ueno

Keyword(s):

Bayesian Networks ◽

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Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_17 ◽

2015 ◽

pp. 234-249

Author(s):

Joe Suzuki

Keyword(s):

Mutual Information ◽

Differential Analysis

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Missing Data from a Causal Perspective

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_13 ◽

2015 ◽

pp. 184-195

Author(s):

Karthika Mohan ◽

Judea Pearl

Keyword(s):

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Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_4 ◽

2015 ◽

pp. 46-60 ◽

Author(s):

Niklas Jahnsson ◽

Brandon Malone ◽

Petri Myllymäki

Keyword(s):

Bayesian Network ◽

Network Structure ◽

Structure Learning ◽

Duplicate Detection ◽

Bayesian Network Structure ◽

Bayesian Network Structure Learning

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Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_3 ◽

2015 ◽

pp. 32-45 ◽

Author(s):

Zhi-gao Guo ◽

Xiao-guang Gao ◽

Ruo-hai Di ◽

Yu Yang

Keyword(s):

Bayesian Network ◽

Maximum A Posteriori ◽

A Posteriori ◽

Data Set ◽

Network Parameters ◽

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Discriminative and Generative Models in Causal and Anticausal Settings

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_15 ◽

2015 ◽

pp. 209-221 ◽

Author(s):

Patrick Blöbaum ◽

Shohei Shimizu ◽

Takashi Washio

Keyword(s):

Generative Models

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Factorization of ZDDs for Representing Bayesian Networks Based on d-Separations

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_12 ◽

2015 ◽

pp. 168-183

Author(s):

Shan Gao ◽

Shin-ichi Minato

Keyword(s):

Bayesian Networks

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On Model Selection, Bayesian Networks, and the Fisher Information Integral

Advanced Methodologies for Bayesian Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28379-1_9 ◽

2015 ◽

pp. 122-135

Author(s):

Yuan Zou ◽

Teemu Roos

Keyword(s):

Model Selection ◽

Bayesian Networks ◽

Fisher Information

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