About this document
Bayesian Decision Theory in Classification by Shahriar Student is a document available to read on EtoBox.
This document summarizes key concepts from Chapter 2 of the textbook "Pattern Classification" regarding Bayesian decision theory. It introduces terminology like state of nature, priors, likelihoods, posteriors, and decision rules. It describes using class-conditional probabilities and Bayes
- Author
- Shahriar Student
- Language
- EN