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Building classifiers using Bayesian networks
Nir Friedman
*
, Moises Goldszmidt
*
Corresponding author for this work
Research output
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Contribution to conference
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Paper
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peer-review
142
Scopus citations
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Dive into the research topics of 'Building classifiers using Bayesian networks'. Together they form a unique fingerprint.
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Keyphrases
Bayesian Network
100%
Naïve Bayes
100%
C4.5
50%
Probability Distribution
25%
Naïve Bayes Classifier
25%
Learning Bayesian Networks
25%
Supervised Learning
25%
Data-centric
25%
Learning Theory
25%
Computational Simplicity
25%
Benchmark Problems
25%
Factored Representation
25%
Feature Selection Methods
25%
Bayesian Classifier
25%
Tree Augmented Naïve Bayes
25%
Call Tree
25%
Wrapper Feature Selection
25%
No Search
25%
Computer Science
Bayesian Networks
100%
Bayes Classifier
50%
Learning Bayesian Network
50%
Feature Selection
50%
Supervised Learning
50%
Benchmark Problem
50%
Bayesian Classifier
50%
Mathematics
Bayesian Network
100%
Naïve Bayes
100%
Probability Distribution
16%
Bayesian Classifier
16%