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