(ppt)

INTRODUCTION TO Machine Learning ETHEM ALPAYDIN © The MIT Press, 2004 [email_address] http://www.cmpe.boun.edu.tr/~ethem/i2ml Lecture Slides for

CHAPTER 8: Nonparametric Methods

Nonparametric Estimation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Density Estimation ,[object Object],[object Object],[object Object],[object Object],[object Object]

Kernel Estimator ,[object Object],[object Object]

k-Nearest Neighbor Estimator ,[object Object],[object Object]

Multivariate Data ,[object Object],[object Object],[object Object],[object Object]

Nonparametric Classification ,[object Object],[object Object],[object Object]

Condensed Nearest Neighbor ,[object Object],[object Object]

Condensed Nearest Neighbor ,[object Object]

Nonparametric Regression ,[object Object],[object Object]

[object Object],[object Object],Running Mean/Kernel Smoother ,[object Object],[object Object],[object Object]

How to Choose k or h? ,[object Object],[object Object],[object Object]

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