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

4.1 Discriminant Functions4.2 Probabilistic Generative Models4.3 Probabilistic Discriminative Models4.4 The Laplace Approximation4.5 Bayesian Logistic Regression
Previous3.6 Limitations of Fixed Basis FunctionsNext4.1 Discriminant Functions

Last updated 5 years ago

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