CSC 581 - Lecture Notes
Introduction
Statistical Computing with R
Computational Aspects of Knowledge Discovery
Elements of Linear Algebra
Decision Surfaces and Functions
Simple Learning(updated 2/3 7:30am)
Perceptron Learning
Duality
Maximum Margin Classifiers
Quadratic Programming
Lagrangian Optimization
Dual Maximum Margin Optimization
Linear SVMs
Non-linear SVMs (updated 2/24)
Kernel Functions
Soft-Margin SVMs(updated 3/2)
Model Evaluation
Model Evaluation, Part II
Model Evaluation, Part III
Implementation Part I
Implementation Part II
Elements of Statistical Learning Theory
Multi-Class SVM's
SVM Regression Part I (updated 4/6)
SVM Regression Part II
Alternative Formulations of SVMs
Novelty Detection