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/255755/12057877
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/150905/12249104
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/149739/12353469
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/213240/15139958
m gauss_dd.m
%GAUSS_DD Gaussian data description.
%
% W = gauss_dd(A,fracrej,r)
%
% Fit a Gaussian density on dataset A. If requested, the r can be
% given to add some regularization to the estimated covar
www.eeworm.com/read/204456/15339255
m gauss_dd.m
%GAUSS_DD Gaussian data description.
%
% W = gauss_dd(A,fracrej,r)
%
% Fit a Gaussian density on dataset A. If requested, the r can be
% given to add some regularization to the estimated covar
www.eeworm.com/read/289321/8559339
m pttls.m
function [Xr, Sr, rho, eta] = pttls(V, d, colA, colB, r)
%PTTLS Truncated TLS regularization with permuted columns.
%
% Given matrices A and B, the total least squares (TLS) problem
% consists o
www.eeworm.com/read/386050/8767597
m nusvo.m
%NUSVO Support Vector Optimizer: NU algorithm
%
% [V,J,NU,C] = NUSVO(K,NLAB,NU,OPTIONS)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parame
www.eeworm.com/read/299984/7140049
m nusvo.m
%NUSVO Support Vector Optimizer: NU algorithm
%
% [V,J,NU,C] = NUSVO(K,NLAB,NU,OPTIONS)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parame
www.eeworm.com/read/460435/7250524
m nusvo.m
%NUSVO Support Vector Optimizer: NU algorithm
%
% [V,J,NU,C] = NUSVO(K,NLAB,NU,OPTIONS)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parame
www.eeworm.com/read/441245/7672734
m nusvo.m
%NUSVO Support Vector Optimizer: NU algorithm
%
% [V,J,NU,C] = NUSVO(K,NLAB,NU,OPTIONS)
%
% INPUT
% K Similarity matrix
% NLAB Label list consisting of -1/+1
% NU Regularization parame