代码搜索：Regularization
找到约 355 项符合「Regularization」的源代码
代码结果 355
www.eeworm.com/read/493294/6400013
m svo_nu.m
%SVO_NU Support Vector Optimizer: NU algorithm
%
% [V,J,C] = SVO(K,NLAB,NU,PD)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parameter (0 <
www.eeworm.com/read/400577/11572702
m svo_nu.m
%SVO_NU Support Vector Optimizer: NU algorithm
%
% [V,J,C] = SVO(K,NLAB,NU,PD)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parameter (0 <
www.eeworm.com/read/255755/12057412
m svo_nu.m
%SVO_NU Support Vector Optimizer: NU algorithm
%
% [V,J,C] = SVO(K,NLAB,NU,PD)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parameter (0 <
www.eeworm.com/read/150905/12248529
m svo_nu.m
%SVO_NU Support Vector Optimizer: NU algorithm
%
% [V,J,C] = SVO(K,NLAB,NU,PD)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parameter (0 <
www.eeworm.com/read/149739/12352841
m svo_nu.m
%SVO_NU Support Vector Optimizer: NU algorithm
%
% [V,J,C] = SVO(K,NLAB,NU,PD)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parameter (0 <
www.eeworm.com/read/289487/8548473
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/428269/8880154
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/427216/8965793
m gvf.m
function [u,v] = GVF(f, mu, ITER)
%GVF Compute gradient vector flow.
% [u,v] = GVF(f, mu, ITER) computes the
% GVF of an edge map f. mu is the GVF regularization coefficient
% and ITER is the n
www.eeworm.com/read/276024/10773186
m gvf.m
function [u,v] = GVF(f, mu, ITER)
%GVF Compute gradient vector flow.
% [u,v] = GVF(f, mu, ITER) computes the
% GVF of an edge map f. mu is the GVF regularization coefficient
% and ITER is the n
www.eeworm.com/read/468922/6981900
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