Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm.
Ioannis AkarepisAgorakis BompotasChristos MakrisPublished in: Knowl. Inf. Syst. (2024)
Keyphrases
- bayesian network classifiers
- parameter learning
- structure learning
- bayesian networks
- discriminative parameter learning
- generative model
- conditional random fields
- statistical learning
- maximum likelihood
- em algorithm
- markov random field
- data sets
- graphical models
- naive bayes classifier
- discriminative learning
- computer vision
- parameter estimation
- benchmark data sets
- naive bayes
- expectation maximization
- classification accuracy
- decision trees
- class imbalance
- machine learning