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Most Relevant Explanation in Bayesian Networks

Most Relevant Explanation in Bayesian Networks

16 January 2014
Changhe Yuan
Heejin Lim
Tsai-Ching Lu
    BDLFAtt
ArXiv (abs)PDFHTML

Papers citing "Most Relevant Explanation in Bayesian Networks"

5 / 5 papers shown
Title
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time
  and Delay
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Sasha Rubin
Thomas Gerspacher
Martin C. Cooper
Alexey Ignatiev
Nina Narodytska
FAtt
63
63
0
13 Aug 2020
A Comparison of Decision Analysis and Expert Rules for Sequential
  Diagnosis
A Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis
Jayant Kalagnanam
M. Henrion
81
72
0
27 Mar 2013
Defining Explanation in Probabilistic Systems
Defining Explanation in Probabilistic Systems
Urszula Chajewska
Joseph Y. Halpern
FAttXAILRM
93
80
0
06 Feb 2013
Explanation Trees for Causal Bayesian Networks
Explanation Trees for Causal Bayesian Networks
U. Nielsen
Jean-Philippe Pellet
A. Elisseeff
FAttCMLXAI
95
39
0
13 Jun 2012
Most Relevant Explanation: Properties, Algorithms, and Evaluations
Most Relevant Explanation: Properties, Algorithms, and Evaluations
Changhe Yuan
Xiaolu Liu
Tsai-Ching Lu
Heejin Lim
FAtt
165
20
0
09 May 2012
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