An application of a GA with Markov network surrogate to feature selection.
Alexander E. I. BrownleeOlivier Regnier-CoudertJohn A. W. McCallStewart MassieStefan StulajterPublished in: Int. J. Syst. Sci. (2013)
Keyphrases
- markov networks
- feature selection
- graphical models
- genetic algorithm ga
- maximum likelihood
- belief propagation
- first order logic
- text categorization
- posterior probability
- document classification
- probabilistic model
- conditional random fields
- bayesian networks
- hidden variables
- bayesian inference
- feature extraction
- conditional probabilities
- classification accuracy
- feature space
- markov random field
- text classification
- structure learning
- feature set
- support vector machine
- inductive logic programming
- support vector
- model selection
- dimensionality reduction
- k nearest neighbor
- em algorithm
- higher order
- image processing
- learning algorithm
- machine learning