Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model s
We have added new functions to the toolbox and updated some of the existing commands with respect to the previous version v1.6. Because many readers are familiar with the layout of version 1.5 and version 1.6, we have tried to change it as little as
Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation. FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fisher discrim inant analysis usi
A long-standing problem in classication is the determination of the regularization parameter. Nearly every classication algorithm uses a parameter (or set of parameters) to control classier complexity. Crossvalidation on the training set is usually
In order to choose correctly the dimension of calibration model in chemistry, a new simple and effective method named Monte Carlo cross validation MCCV is introduced in the present work. Unlike leave-one-out procedure commonly used in Ž . chemometri
Generalized cross validation (GCV) is a significant mean square error (MSE) estimator. It is widely used for image denoising because it can provide an optimal denoising threshold for these wavelet coefficients of noise image. However, the computation
