The present LS-SVMlab toolbox User’s Guide contains Matlab implementations for a number of LS-SVM algorithms related to classification, regression, time-series prediction and unsupervised learning. All functions are tested with Matlab R2008a, R2008b
Matlab2009b 的破解文件。破解方法： we offer you two ways to license matlab r2009b: standalone 1) choose "install manually without using the internet" 2) enter the "file installation key" 36322-23096-57999-54517-22630 3) use "license_standalone.dat" when asked
Matlab R2009b - R2013a: LS-SVMlab1.8 - Linux and Windows (32 and 64 bit):
lssvm工具箱使用说明1——8英文原版
Support Vector Machines (SVM) is a powerful methodology for solving problems in nonlinear classification, function estimation and density estimation which
