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/150905/12248300
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/149739/12352674
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/386050/8768123
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/360995/10069886
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/343753/6963602
readme_ann
Matlab files for artificial neural networks described in "Regularization tools for training large feed-forward neural networks using Automatic Differentiation" by J. Eriksson, M. Gulliksson, P. Lindst
www.eeworm.com/read/299984/7140318
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/460435/7250793
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/451547/7461896
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/450608/7480380
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/441245/7673007
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0