Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique.
Joe SuzukiPublished in: ICML (1996)
Keyphrases
- learning algorithm
- bayesian belief networks
- parameter free
- matching algorithm
- probabilistic model
- dynamic programming
- energy function
- support vector machine svm
- learning process
- optimal solution
- similarity measure
- data sets
- active learning
- expectation maximization
- unsupervised learning
- feature extraction
- machine learning