A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification.
Fahdah AlalyanNuha ZamzamiNizar BouguilaPublished in: SMC (2020)
Keyphrases
- mixture model
- support vector machine svm
- density estimation
- support vector
- model selection
- support vector machine
- probabilistic model
- binary vectors
- gaussian mixture model
- unsupervised learning
- em algorithm
- generative model
- svm classifier
- feature selection
- feature vectors
- expectation maximization
- decision boundary
- pattern recognition
- language model
- mixture modeling
- text classification
- dirichlet process
- probability density function
- machine learning
- binary features
- decision trees
- unlabeled samples
- feature space
- cost sensitive
- feature extraction
- training data
- training samples
- bayesian networks
- maximum likelihood
- class labels
- gaussian mixture
- kernel function
- exponential family
- discriminative learning
- feature set