判别式模型与生成式模型 模型分类
Andrew Ng在NIPS2001年有一篇专门比较判别模型和产生式模型的文章：
On Discrimitive vs. Generative classifiers: A comparision of logistic regression and naive Bayes
On Discrimitive vs. Generative classifiers: A comparision of logistic regression and naive Bayes
(http://robotics.stanford.edu/~ang/papers/nips01-discriminativegenerative.pdf)
判别式模型常见的主要有：
Logistic Regression
SVM
Traditional Neural Networks
Nearest Neighbor
CRF
Linear Discriminant Analysis
Boosting
Linear Regression
产生式模型常见的主要有：
Gaussians
Naive Bayes
Mixtures of Multinomials
Mixtures of Gaussians
Mixtures of Experts
HMMs
Sigmoidal Belief Networks, Bayesian Networks
Markov Random Fields
Latent Dirichlet Allocation