Kernel mixture model for probability density estimation in Bayesian classifiers.
Wenyu ZhangZhenjiang ZhangHan-Chieh ChaoFan-Hsun TsengPublished in: Data Min. Knowl. Discov. (2018)
Keyphrases
- mixture model
- probability density estimation
- bayesian classifiers
- dirichlet distribution
- bayesian classifier
- logistic regression
- gaussian mixture model
- generative model
- probabilistic model
- bayesian network classifiers
- em algorithm
- supervised classification
- density estimation
- model selection
- unsupervised learning
- naive bayes
- decision trees
- bayesian methods
- expectation maximization
- support vector
- language model
- singular value decomposition
- feature space
- cost sensitive learning
- base classifiers
- probability density function
- denoising
- maximum likelihood
- semi supervised
- pairwise
- information retrieval
- prior knowledge