An Introduction to Probabilistic Generative Models

Preliminaries Probability Bayesian Formular Calculus Probabilistic Generative Models1 The generative model used for making decisions contains an inference step and a decision step: Inference step is to calculate Pr(Ckx)\Pr(\mathcal{C}_k|\mathbf{x}) which means the probability of x\mathbf{x} belonging to the class Ck\mathcal{C}_k given x\mathbf{x} Decision step is to make a decision based on Pr(Ckx)\Pr(\mathcal{C}_k|\mathbf{x}) which was calculated in step 1 In this post, we just give an introduction and a framework for the probabilistic generative model in classification....

February 20, 2020 · (Last Modification: April 28, 2022) · Anthony Tan