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Lecture 3. Linear Models for Classification

Lecture 3. Linear Models for Classification. O utline. G e neral framework of Classification Discriminant Analysis Linear discriminant analysis, quadratic discriminant analysis, rank-reduced ~ Logistic Regression Perceptron and Separating Hyperplane. Framework for Classification.

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Gaussian Mixture Models

Gaussian Mixture Models. David Sears Music Information Retrieval October 8, 2009. Outline. Classifying (Musical) Data: The Audio Mess Statistical Principles Gaussian Mixture Models Maximum Likelihood Estimation: EM Algorithm Applications to Music Conclusions.

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Lecture 3. Linear Models for Classification

Gaussian Mixture Models