Stat841f09 - Wiki Course Notes

# 1 model selection 272 steins unbiased risk estimate

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Unformatted text preview: 1 Model Selection 27.2 Stein's unbiased risk estimate (SURE) 27.2.1 Important Notation[27] 27.2.2 Stein's Lemma wikicour senote.com/w/index.php?title= Stat841&amp;pr intable= yes 2/74 10/09/2013 Stat841 - Wiki Cour se Notes 27.2.3 Two Different Cases 27.2.3.1 Case 1 27.2.3.2 Case 2 27.3 SURE for RBF Network 27.4 SURE Algorithm 28 SURE for RBF network &amp; Support Vector Machine - November 13th, 2009 28.1 SURE for RBF network 28.1.1 Minimizing MSE 28.1.2 Kmeans Clustering 28.1.2.1 Kmeans Clustering algorithm 28.1.2.2 Example: 28.2 Support Vector Machine 28.2.1 Introduction 28.2.2 Optimal Seperating Hyperplane 28.2.3 Maximum Margin Classifiers in the Linearly separable case 28.2.4 Extension- - Multi- class SVM[28] 29 Optimizing The Support Vector Machine - November 16th, 2009 29.1 Margin Maximizing Problem for the Support Vector Machine 29.1.1 Writing Lagrangian Form of Support Vector Machine 29.1.2 Extension:Global Optimization of Support Vector Machines(Using Genetic Algorithms for Bankruptcy Prediction) 29.1.3 Extension: Finding Optimal Parameter Values 29.2 Positives and Negatives When Optimizing SVM[30] 30 The Support Vector Machine algorithm - November 18, 2009 30.1 Lagrange Duality 30.2 Solving the Lagrangian 30.3 Quadprog example 30.4 Examining K.K.T. conditions 30.5 Support Vectors 30.6 Using support vectors 30.6.1 The support vector machine algorithm 30.7 Example in Matlab 30.8 SVM in Gene Selection 30.8.1 Extention:Support Vector Machines for Pattern Recognition 30.9 Limitation of SVM algorithm [33] 31 Non- linear hypersurfaces and Non- Separable classes - November 20, 2009 31.1 Kernel Trick 31.1.1 Three popular kernel choices in the SVM 31.2 Mercer's Theorem in detail 31.3 Kernel Functions 31.4 SVM: non- separable case 32 Support Vector Machine algorithm for non- separable cases - November 23, 2009 32.1 Forming the Lagrangian 32.2 Applying KKT conditions[34] 32.3 Putting it all together 32.3.1 The SVM algorithm for non- separable data sets 32.3.2 Potential drawbacks 33 Finishing up SVM - November 25, 2009...
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## This document was uploaded on 03/07/2014.

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