Machine Learning - Linear Classification

Klipi teostus: Mirjam Paales 12.03.2013 3384 vaatamist Arvutiteadus


Given by Konstantin Tretjakov

Brief summary: General description of linear classifiers. Components of the linear discriminant functions: weight vector and bias term. Fisher discriminant, Least-squares methods, Perceptron, Batch and online training, Various cost functions used in training and resulting training algorithms.

Slides: (pdf) (Auxiliary reading)

Literature: Duda, Hart & Stork: Pattern Classification: Linear discriminant functions.