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/250416/12407233
bas module1.bas
Attribute VB_Name = "Module1"
Global Const ATBiUni = " 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0"
Global Const ATGain = " 1 2 4 8 1
www.eeworm.com/read/250416/12407251
bas module1.bas
Attribute VB_Name = "Module1"
Global Const ATBiUni = " 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0"
Global Const ATGain = " 1 2 4 8 1
www.eeworm.com/read/336808/12414744
uname
用法：uname [选项]...
Print certain system information. With no OPTION, same as -s.
-a, --all print all information, in the following order,
except omit -p a
www.eeworm.com/read/148789/12425766
r specc.r
#specc function
setGeneric("specc",function(x, ...) standardGeneric("specc"))
setMethod("specc", signature(x = "formula"),
function(x, data = NULL, na.action = na.omit, ...)
{
mt
www.eeworm.com/read/148789/12425771
r rvm.r
setGeneric("rvm", function(x, ...) standardGeneric("rvm"))
setMethod("rvm",signature(x="formula"),
function (x, data=NULL, ..., subset, na.action = na.omit){
call
www.eeworm.com/read/148789/12425804
r gausspr.r
setGeneric("gausspr", function(x, ...) standardGeneric("gausspr"))
setMethod("gausspr",signature(x="formula"),
function (x, data=NULL, ..., subset, na.action = na.omit){
call
www.eeworm.com/read/148789/12425825
rd rvm.rd
\name{rvm}
\alias{rvm}
\alias{rvm-methods}
\alias{rvm,formula-method}
\alias{rvm,vector-method}
\alias{rvm,matrix-method}
\alias{show,rvm-method}
\alias{predict,rvm-method}
\title{Relevance Vector Mac
www.eeworm.com/read/148789/12425887
rd kpca.rd
\name{kpca}
\alias{kpca}
\alias{kpca,formula-method}
\alias{kpca,matrix-method}
\alias{predict,kpca-method}
\title{Kernel Principal Components Analysis}
\description{
Kernel Principal Components analy
www.eeworm.com/read/148788/12426046
m svcplot.m
function [x,y,z]=svcplot(X,Y,ker,alpha,bias,par)
%This is a routine to plot 2D classification problem with SVM
%
% [x,y,z]=svcplot(X,Y,ker,alpha,bias,par)
%
% Parameters:
%
% X:
www.eeworm.com/read/148788/12426049
m irwls1.m
function [nsv,al3,bi,T,Lp]=irwls1(x,y,ker,C,epsi,par,tol);
%
%
% This function solves the Support Vector Machine for regression.
%
% [nsv,al3,bi,T,Lp]=irwls1(x,y,ker,C,epsi,par,tol);
%
% T