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/428849/8834572
m pkernelproj.m
function pkernelproj(model,options)
% PKERNELPROJ Plots isolines of kernel projection.
%
% Synopsis:
% pkernelproj(model)
% pkernelproj(model,options)
%
% Description:
% This function plots isoline
www.eeworm.com/read/428849/8834701
m~ rbfpreimg.m~
function x = rbfpreimg( model, options, init_point )
% RBFPREIMG RBF pre-image by Schoelkopf's fixed-point algorithm.
%
% Synopsis:
% x = rbfpreimg( model )
% x = rbfpreimg( model, options )
% x
www.eeworm.com/read/428849/8834703
m rbfpreimg.m
function x = rbfpreimg( model, options, init_point )
% RBFPREIMG RBF pre-image by Schoelkopf's fixed-point algorithm.
%
% Synopsis:
% x = rbfpreimg( model )
% x = rbfpreimg( model, options )
% x
www.eeworm.com/read/428849/8834991
m~ contents.m~
% Statistical Pattern Recognition Toolbox (STPRtool).
% Version 2.04 22-Dec-2004
%
% Bayesian classification.
% bayescls - Bayesian classifier with reject option.
% bayesdf
www.eeworm.com/read/428752/8848807
bak dp-1581_uv2.bak
### uVision2 Project, (C) Keil Software
### Do not modify !
Target (dp-1581), 0x0000 // Tools: 'MCS-51'
Group (dp-1581)
File 1,1,
File 1,1,
File 1,1
www.eeworm.com/read/187145/8853150
dsp core.dsp
# Microsoft Developer Studio Project File - Name="core" - Package Owner=
# Microsoft Developer Studio Generated Build File, Format Version 6.00
# ** DO NOT EDIT **
# TARGTYPE "Win32 (x86) Stat
www.eeworm.com/read/285288/8855078
bak dp-1581_uv2.bak
### uVision2 Project, (C) Keil Software
### Do not modify !
Target (dp-1581), 0x0000 // Tools: 'MCS-51'
Group (dp-1581)
File 1,1,
File 1,1,
File 1,1
www.eeworm.com/read/384512/8865939
m som_estimate_gmm.m
function [K,P] = som_estimate_gmm(sM, sD)
%SOM_ESTIMATE_GMM Estimate a gaussian mixture model based on map.
%
% [K,P] = som_estimate_gmm(sM, sD)
%
% Input and output arguments:
% sM (struct) ma
www.eeworm.com/read/428269/8880154
m rnval.m
function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T);
% USAGE
% y=rnval(xapp,xtest,kernel,kerneloption,c,d,T);
%
% y= K*c+ T*d
% calculates the output y of a Regularization netwo
www.eeworm.com/read/428269/8880232
m multiplekernel.m
function K=multiplekernel(x,kernel,kerneloptionvec,xapp,solution);
%
% USAGE
%
% K=multiplekernel(x,kernel,kerneloptionvec,xapp,solution);
%
% process the kernel K(x,xapp). If solution is prov