scholarly journals Efficient Approximation of the Conditional Relative Entropy with Applications to Discriminative Learning of Bayesian Network Classifiers

Entropy ◽  
2013 ◽  
Vol 15 (12) ◽  
pp. 2716-2735 ◽  
Author(s):  
Alexandra Carvalho ◽  
Pedro Adão ◽  
Paulo Mateus
Keyword(s):  
Bayesian Network ◽  
Relative Entropy ◽  
Discriminative Learning ◽  
Bayesian Network Classifiers ◽  
Efficient Approximation

scholarly journals Discriminative Learning of Bayesian Network Classifiers

2006 ◽  
Vol 10 (29) ◽  
Author(s):  
Guzman Santafe ◽  
Jose A. Lozano ◽  
Pedro Larrañaga
Keyword(s):  
Bayesian Network ◽  
Discriminative Learning ◽  
Bayesian Network Classifiers

scholarly journals A Symbolic Approach to Explaining Bayesian Network Classifiers

2018 ◽  
Author(s):  
Andy Shih ◽  
Arthur Choi ◽  
Adnan Darwiche
Keyword(s):  
Bayesian Network ◽  
Case Studies ◽  
Decision Diagrams ◽  
Minimal Set ◽  
Symbolic Form ◽  
Bayesian Network Classifiers ◽  
Current State ◽  
Current Classification ◽  
Decision Functions ◽  
Symbolic Approach

We propose an approach for explaining Bayesian network classifiers, which is based on compiling such classifiers into decision functions that have a tractable and symbolic form. We introduce two types of explanations for why a classifier may have classified an instance positively or negatively and suggest algorithms for computing these explanations. The first type of explanation identifies a minimal set of the currently active features that is responsible for the current classification, while the second type of explanation identifies a minimal set of features whose current state (active or not) is sufficient for the classification. We consider in particular the compilation of Naive and Latent-Tree Bayesian network classifiers into Ordered Decision Diagrams (ODDs), providing a context for evaluating our proposal using case studies and experiments based on classifiers from the literature.

scholarly journals Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons

2014 ◽  
Vol 13 (2) ◽  
pp. 193-208 ◽  
Author(s):  
Bojan Mihaljević ◽  
Ruth Benavides-Piccione ◽  
Concha Bielza ◽  
Javier DeFelipe ◽  
Pedro Larrañaga
Keyword(s):  
Bayesian Network ◽  
Gabaergic Interneurons ◽  
Bayesian Network Classifiers

Learning Attentive Fusion of Multiple Bayesian Network Classifiers

2012 ◽  
pp. 133-140
Author(s):  
Sepehr Eghbali ◽  
Majid Nili Ahmadabadi ◽  
Babak Nadjar Araabi ◽  
Maryam Mirian
Keyword(s):  
Bayesian Network ◽  
Bayesian Network Classifiers
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