Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs.
Luigi MalagòMatteo MatteucciGabriele ValentiniPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- logistic regression
- markov networks
- evolutionary algorithm
- graphical models
- maximum likelihood
- estimation of distribution algorithms
- bayesian classifiers
- maximum margin
- belief propagation
- first order logic
- conditional likelihood
- decision trees
- bayesian networks
- support vector
- conditional random fields
- naive bayes
- least squares
- probabilistic model
- continuous domains
- bayesian inference
- hidden variables
- loss function
- structure learning
- posterior probability
- markov random field
- maximum a posteriori
- document classification
- inductive logic programming
- conditional probabilities
- optimization problems
- genetic algorithm
- em algorithm
- training data
- artificial intelligence
- latent variables
- bayesian framework
- feature vectors
- knowledge discovery