<--- Back to Details
First PageDocument Content
Statistical classification / Machine learning / Learning / Artificial intelligence / Support vector machine / Polynomial kernel / LIBSVM / Quadratic / Classifier / XTR / Least squares support vector machine
Date: 2015-01-01 11:20:46
Statistical classification
Machine learning
Learning
Artificial intelligence
Support vector machine
Polynomial kernel
LIBSVM
Quadratic
Classifier
XTR
Least squares support vector machine

Add to Reading List

Source URL: www.work.caltech.edu

Download Document from Source Website

File Size: 151,21 KB

Share Document on Facebook

Similar Documents

Title stata.com lpoly — Kernel-weighted local polynomial smoothing Syntax Remarks and examples

DocID: 1twN5 - View Document

Regression analysis / Statistics / Estimation theory / Nonparametric statistics / Parametric statistics / Polynomial regression / Local regression / Decision tree learning / Kernel regression / Ordinary least squares / Nonparametric regression / Linear regression

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

Statistics / Regression analysis / Autocorrelation / Linear regression / Polynomial regression / Nonparametric regression / Kernel regression / Correlation and dependence / Errors and residuals / Degrees of freedom / Variance / Normal distribution

Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara

DocID: 1rhFT - View Document

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

DocID: 1rhuQ - View Document

Machine learning / Microarrays / Statistical classification / Biology / Statistics / Support vector machine / Polynomial kernel / Affymetrix / Linear classifier / DNA microarray / Kernel method / Gene expression profiling

264 Genome Informatics 13: 264–Characteristics of Support Vector Machines in Gene Expression Analysis

DocID: 1rf4U - View Document