ABOUT MANUSCRIPTS FOR IJ ITA

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Date: 2015-02-02 08:46:59 Statistics Statistical classification Learning Machine learning Support vector machine Data mining Polynomial kernel Feature selection Linear separability Receiver operating characteristic Linear discriminant analysis Least squares support vector machine		ABOUT MANUSCRIPTS FOR IJ ITA Add to Reading List Source URL: foibg.com Download Document from Source Website File Size: 697,81 KB Share Document on Facebook

	Title stata.com lpoly — Kernel-weighted local polynomial smoothing Syntax Remarks and examples DocID: 1twN5 - View Document
	Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model DocID: 1rjdf - View Document
	Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara DocID: 1rhFT - View Document
	ABOUT MANUSCRIPTS FOR IJ ITA DocID: 1rhuQ - View Document
	264 Genome Informatics 13: 264–Characteristics of Support Vector Machines in Gene Expression Analysis DocID: 1rf4U - View Document