Pattern Recognition Links • Pattern Classification, by R.O. Duda, P.E. Hart, D.G. Stork • Introductory Slides, from my class at Santa Clara University • Support Vector Machines • Ensemble Methods,  Combining Learners

Giovanni Seni, Ph.D.

• Introduction  -  example, system components, design cycle

• Bayesian Decision Theory  -  Bayes formula, discriminant functions

• Parameter Estimation  -  Maximum Likelihood, Bayesian

• Linear Discriminants  -  LDA, Perceptron, Fisher, Linear & Logistic
Regression

• Tutorials

• SVMTorch

• SVM-Light, by T. Joachims

• ISLE, by J. Friedman & B. Popescu

• Random Forests, by Leo Breiman & A. Cutler

• Stochastic Discrimination, by E. Kleinberg

• Neural Neyworks