PSL_Book
  • 1. Introduction
  • 2. Linear Regression
  • 3. Variable Selection and Regularization
  • 4. Regression Trees and Ensemble
  • 5. Nonlinear Regression
  • 6. Clustering Analysis
  • 7. Latent Structure Models
  • 8. TBA
  • 9. Discriminant Analysis
  • 10. Logistic Regression
  • 11. Support Vector Machine
    • 11.1. Introduction
    • 11.2. The Separable case
    • 11.3. The Non-separable case
    • 11.4. Nonlinear SVMs
    • 11.5. Appendix
  • 12. Classification Trees and Boosting
  • 13. Recommender System
PSL_Book
  • 11. Support Vector Machine

11. Support Vector Machine

  • 11.1. Introduction
  • 11.2. The Separable case
  • 11.3. The Non-separable case
  • 11.4. Nonlinear SVMs
  • 11.5. Appendix
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