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/460435/7250825
m mogc.m
%MOGC Mixture of Gaussian classifier
%
% W = MOGC(A,N)
% W = A*MOGC([],N);
%
% INPUT
% A Dataset
% N Number of mixtures (optional; default 2)
% R,S Regularization parameters, 0
www.eeworm.com/read/441245/7673039
m mogc.m
%MOGC Mixture of Gaussian classifier
%
% W = MOGC(A,N)
% W = A*MOGC([],N);
%
% INPUT
% A Dataset
% N Number of mixtures (optional; default 2)
% R,S Regularization parameters, 0
www.eeworm.com/read/400577/11573003
m mogc.m
%MOGC Mixture of Gaussian classifier
%
% W = MOGC(A,N)
% W = A*MOGC([],N);
%
% INPUT
% A Dataset
% N Number of mixtures (optional; default 2)
% R,S Regularization parameters, 0
www.eeworm.com/read/200886/15420750
m getsmoothlikez.m
% function smoothPriorLikTerm = getSmoothLikeZ(G,z,ubar2)
%
% calculate the regularization part of the log likelihood
% -lambda*sum(diff(trace).^2)
%
% returns one component per class
% assumes th
www.eeworm.com/read/279380/10442828
m calcwtw.m
function[ MTX] = calcWTW(MTX,wt,para)
% [WTW] = calcWTW(MTX,wt)
% Calculate WTW - the model regularization matrix
% USE: grad, kron3
% Copyright (c) 2007 by the Society of Exploration Geophysici
www.eeworm.com/read/450608/7480090
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/137160/13341826
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/314653/13562218
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/493294/6399901
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/255755/12057247
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0