代码搜索：usage
找到约 10,000 项符合「usage」的源代码
代码结果 10,000
www.eeworm.com/read/198546/7928701
m kolmogorov.m
function [statistic, pvalue, H]=kolmorgorov(x,size,dist,varargin)
% PURPOSE:
% Performs a Kolmogorov-Smirnov test that the data are from a specified distribution
%
% USAGE:
% [statistic,
www.eeworm.com/read/198546/7929029
m fattailed_garchlikelihood.m
function [LLF, h, likelihoods] = fattailed_garchlikelihood(parameters , data , p , q, errortype, stdEstimate, T)
% PURPOSE:
% Likelihood for fattailed garch estimation
%
% USAGE:
% [LLF,
www.eeworm.com/read/197649/7983204
m nspplot.m
function [spec,tscale,fscale] = nspplot(freq,amp,twin,fwin);
% COMPONENTS/NSPPLOT generates and optionally plots a nonlinear spectrum
% using precalculated frequency and amplitude
%
% Usage:
% [
www.eeworm.com/read/197649/7983232
m splinenormalize.m
function [n,a]=splinenormalize(c)
% COMPONENTS/SPLINENORMALIZE Normalize a Components structure by spline envelope.
% Usage:
% [n,a]=splinenormalize(c);
%
% Input:
% c - Components object to b
www.eeworm.com/read/398337/7993575
m featselregspanboundgd.m
function [RankedVariables,nbsvvec,Values,NbQP,NbInv,iter]=FeatSelspanboundGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% USAGE
%
% [RankedVariables,nbsvvec,Values]=FeatSelspanbo
www.eeworm.com/read/398337/7993577
m featselregalphagd.m
function [RankedVariables,nbsvvec,Values,NbQP,iter]=FeatSelregalphaGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelregalpha
www.eeworm.com/read/398337/7993586
m featselregmargingdrandom.m
function [RankedVariables,nbsvvec,Values,NbQP,iter]=FeatSelregmarginGDrandom(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelr
www.eeworm.com/read/398337/7993597
m featselregmargingd.m
function [RankedVariables,nbsvvec,Values,NbQP,iter]=FeatSelregmarginGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelregmarg
www.eeworm.com/read/398337/7993643
m createmultilevelkernel.m
function [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
% USAGE
%
% [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
%
% This function creates multiscale kernels K an
www.eeworm.com/read/398337/7993697
m kernelpca.m
function [eigvect,eigval,Kt]=kernelpca(x,kernel,kerneloption)
% USAGE
% [eigvect,eigval]=kernelpca(x,kernel,kerneloption)
%
% Diagonalizing the covariance matrix in feature space
%
% eigenv