Kernel Discriminant Analysis using Bayesian Model Averaging

Dec 12, 2012

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Outline. What is Discriminant Analysis?Kernel Discriminant AnalysisSelection of Bandwidth-Bayesian Model Averaging using MCMCSupervised LearningSemi-Supervised LearningComputational Issues Analysis of Benchmark Data sets. 2 Fold Problem. Our Contributions. An Example. A credit card company

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Kernel Discriminant Analysis using Bayesian Model Averaging

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Discriminant Analysis

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Discriminant Analysis

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Discriminant Analysis

Discriminant Analysis. DA is used for discriminating among groups by analyzing data with a discrete or categorical dependent variable and a set of independent variables.

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Chapter XVIII. Discriminant Analysis. Chapter Outline 1) Overview 2) Basic Concept 3) Relation to Regression and ANOVA 4) Discriminant Analysis Model 5) Statistics Associated with Discriminant Analysis 6) Conducting Discriminant Analysis i. Formulation ii. Estimation

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Discriminant Analysis

Discriminant Analysis. An Introduction. Problem description. We wish to predict group membership for a number of subjects from a set of predictor variables. The criterion variable (also called grouping variable) is the object of classification. This is ALWAYS a categorical variable!!!

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Discriminant Analysis

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Discriminant Analysis

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