Probability Classification Model
Probability Classification Model
Basic Problem：$w_1,w_2$，sample $x \in{w_1,w_2}$, $P(w_1|x),P(w_2|x)=?$
Classification Problem：
If $P(w_1|x)>P(w_2|x)$, then $x\in w_1$
If $P(w_1|x)<P(w_2|x)$, then $x\in w_2$
$P(x|w)$ – Conditional probability of x given w
$P(w|x)$ – Posterior probability of x given w
$P(w)$ – Prior probability of w
WARNING: Prior probability can be decisive in certain circumstances.
Naive Bayesian 朴素贝叶斯
Gaussian Discriminative Analysis 高斯判别分析 GDA
Gaussian Mixture Model 高斯混合模型 GMM
EM Algorithm EM算法
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