代码搜索：Classifier
找到约 4,824 项符合「Classifier」的源代码
代码结果 4,824
www.eeworm.com/read/484356/6585988
asv svmfit.asv
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/484356/6585989
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/400577/11573201
m nu_svr.m
%NU_SVR Support Vector Classifier: NU algorithm
%
% [W,J,C] = NU_SVR(A,TYPE,PAR,C,SVR_TYPE,NU_EPS,MC,PD)
%
% INPUT
% A Dataset
% TYPE Type of the kernel (optional; default: 'p')
% PAR K
www.eeworm.com/read/262186/11602253
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/157074/11741245
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/256398/12001712
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/150760/12265769
m svm2.m
function model = svm2(data,options)
% SVM2 Learning of binary SVM classifier with L2-soft margin.
%
% Synopsis:
% model = svm2(data)
% model = svm2(data,options)
%
% Description:
% This function le
www.eeworm.com/read/130383/14196218
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/223154/14651874
m make_cc_tc2004.m
function [cc02,cc32]=make_cc7(fn,eegchan,trigchan,Fs)
% Builds a classifier based on AAR parameters from BCI recordings.
% The result includes also initial values for the next run.
%
% CC=make_
www.eeworm.com/read/213492/15133668
m svm2.m
function model = svm2(data,options)
% SVM2 Learning of binary SVM classifier with L2-soft margin.
%
% Synopsis:
% model = svm2(data)
% model = svm2(data,options)
%
% Description:
% This function le