⌘Ctrlk

PRML study
Chapter-1 Introduction
Chapter-2 Probability Distributions
Chapter-3 Linear Models
Chapter-4 Linear Models for Classification
Chapter-5 Neural Networks

Powered by GitBook

On this page

Chapter-4 Linear Models for Classification

4.1 Discriminant Functions 4.2 Probabilistic Generative Models 4.3 Probabilistic Discriminative Models 4.4 The Laplace Approximation 4.5 Bayesian Logistic Regression

Previous3.6 Limitations of Fixed Basis Functions Next4.1 Discriminant Functions

Last updated 5 years ago