Classificaiton as Regression
Generative Model:
P(x) =
Gaussian Distribution
Find Maximum Likelihood (mean*, covariance*)
All dimensions are independent ==> Naive Bayes Classifier
σ(z)=1/ (1+exp(-z))
Classificaiton as Regression
Generative Model:
P(x) =
Gaussian Distribution
Find Maximum Likelihood (mean*, covariance*)
All dimensions are independent ==> Naive Bayes Classifier
σ(z)=1/ (1+exp(-z))