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Download StatLSSVM User's Guide - Esat
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Chapter 1 Overview of functions in StatLSSVM Function Call bimodNW bitreverse32 changelssvm cilssvm crossval crossval2lp1 csa cvl densitylssvm densitylssvm2d epdfhist gcrossval hall huber initlssvm kernel_matrix kernel_matrix2 latticeseq_b2 leaveoneout linf lscvhist lssvmMATLAB mae mse plotlssvm plotlssvmadd progress rcrossval regdata2d robustlssvm rsimplex simlssvm simplex smootherlssvm statgetargs tbform trainlssvm Short explanation Internal function. Estimate a regression curve based on bimodal kernels Internal function. Reverse the bits of the argument Change a field of the object oriented representation of the LS-SVM Constructs pointwise or simultaneous confidence intervals Estimate performance of an LS-SVM with fast v-fold CV Estimate performance of an LS-SVM with leave-2l + 1-out CV Coupled simulated annealing with variance control Calculate l for leave-2l + 1-out CV One dimensional density estimation via regression Two dimensional density estimation via regression Emperical density estimate Estimate performance of an LS-SVM with generalized CV Estimate error variance model free using Hall’s estimator Huber’s loss function Initiate LS-SVM object interface Construct the positive (semi-) definite and symmetric kernel matrix Internal function. Fast evaluation of the kernel matrix Internal function. Generate points from a lattice sequence in base 2 in radical inverse ordering. Estimate performance of an LS-SVM with fast leave-one-out CV L∞ norm Tune number of bins for 1d or 2d histograms based on least squares CV Internal function. Matlab implementation of the LS-SVM solver Mean absolute error Mean squared error Plot LS-SVM results Plot additive LS-SVM results Internal function. Text progress bar Estimate performance of an LS-SVM with robust v-fold CV Transform a 2d density estimation problem in a regression problem Robust training of LS-SVM via iterative reweighting Derivative-free simplex method for robust tuning Evaluate LS-SVM at arbitrary points Derivative-free simplex method for standard LS-SVM tuning Calculate smoother matrix for LS-SVM Internal function. Process parameter name/value pairs for density estimation Volume-of-tube formula training of LS-SVM 3 Page 9 10 11 12 13 14 15 17 19 20 21 22 23 24 25 22 26 22 22 27 28 29 30 31 32 33 32 34 35 36
