Handling missing features in maximum margin Bayesian network classifiers.
Sebastian TschiatschekNikolaus MutsamFranz PernkopfPublished in: MLSP (2012)
Keyphrases
- maximum margin
- bayesian network classifiers
- discriminative learning
- classification accuracy
- pattern classification
- feature extraction
- support vector
- naive bayes
- learning algorithm
- multiple kernel learning
- feature vectors
- svm classifier
- bayesian networks
- naive bayes classifier
- training data
- maximum likelihood
- missing values
- upper bound
- hyperplane
- classification models
- document classification
- markov networks
- structure learning
- multiple features
- data sets