Statistical Learning Methods

CONTENTS

• Chapter 1. Introduction to Statistical Learning Methods

• Chapter 2. Perceptron

• Chapter 3. K Nearest Neighbor Method

• Chapter 4. Naive Bayesian Method

• Chapter 5. Decision Tree

• Chapter 6. Logistic Regression and Maximum Entropy Model

• Chapter 7. Support Vector Machine

• Chapter 8. Lifting Methods

• Chapter 9. EM Algorithm and Its Extension

• Chapter 10. Hidden Markov Model

• Chapter 11. Conditional Random Fields

• Chapter 12. Summary of Statistical Learning Methods