代码搜索：kernel
找到约 10,000 项符合「kernel」的源代码
代码结果 10,000
www.eeworm.com/read/172172/9722099
m afe.m
function [features,eigvec,eigvals] = AFE(Xs,kernel, kernel_pars,X,type,nb,eigvec,eigvals)
% Automatic Feature Extraction by Nystr鰉 method
%
%
% >> features = AFE(X, kernel, sig2, Xt)
%
% Description
%
www.eeworm.com/read/367947/9722231
c loadkernel.c
#include "typdef.h"
extern char kernel[];
void loadkernel()
{
int i;
char *to;
char *from;
void (*fp)(void);
fp = (void (*)(void))0x8000;
to = (char*)0x8000;
from =
www.eeworm.com/read/171641/9744397
todo
* Tune reverb engine
* Add support for chorus, vibrato and tremolo
* Create Kernel driver that will use the lib.
* Windows/X front end for player.
www.eeworm.com/read/367442/9747892
m~ kernelpca.m~
function [Z,Lambda]=kernelpca(X,T,l,ker,arg,display)
% KERNELPCA computes kernel Principal Component Analysis.
% [Z,lambda]=kernelpca(X,T,l,ker,arg,display)
%
% KERNELPCA computes Principal Componen
www.eeworm.com/read/367442/9747907
m kernelpca.m
function [Z,Lambda]=kernelpca(X,T,l,ker,arg,display)
% KERNELPCA computes kernel Principal Component Analysis.
% [Z,lambda]=kernelpca(X,T,l,ker,arg,display)
%
% KERNELPCA computes Principal Componen
www.eeworm.com/read/367442/9747942
c kernelskf.c
/*---------------------------------------------------------------------------
[Alpha,bias,sol,t,kercnt,margin,trnerr,margin2]=
kernelskf(data,labels,stop,ker,arg,tmax,C)
KERNELSKF kernel Schlesin
www.eeworm.com/read/367442/9747981
m ka.m
function [Alpha, bias, margin, t, flps] = ka(X,I,ker,arg,C,tmax,epsilon,Ni,mi)
% KA kernel-Adatron algorithm solving SVM (L1) problem.
% [Alpha,bias,margin,t,flps]=ka(X,I,ker,arg,C,tmax,epsilon,Ni,mi)
www.eeworm.com/read/367442/9748053
c~ kernelskf.c~
/*---------------------------------------------------------------------------
[Alpha,bias,sol,t,kercnt,margin,trnerr]=
kernelskf(data,labels,stop,ker,arg,tmax,C)
KERNELSKF kernel Schlesinger-Kozi
www.eeworm.com/read/367442/9748056
c kgilbert.c
/*---------------------------------------------------------------------------
[Alpha,bias,sol,t,kercnt,margin,trnerr]=
kgilbert(data,labels,stop,ker,arg,tmax,C)
KGILBERT kernel Gilbert's algorith