代码搜索：Regularized
找到约 102 项符合「Regularized」的源代码
代码结果 102
www.eeworm.com/read/213492/15133717
m greedykls.m
function [model,Z]=greedykpca(X,y,options)
% GREEDYKLS Greedy Regularized Kernel Least Squares.
%
% Synopsis:
% model = greedykls(X)
% model = greedykls(X,options)
%
% Description:
% This function
www.eeworm.com/read/415311/11077155
m rda.m
function D = RDA (train_features, train_targets, lamda, region)
% Classify using the Regularized descriminant analysis (Friedman shrinkage algorithm)
% Inputs:
% features - Train features
% tar
www.eeworm.com/read/289321/8559302
m regem.m
function [X, M, C, Xerr] = regem(X, options)
%REGEM Imputation of missing values with regularized EM algorithm.
%
% [X, M, C, Xerr] = REGEM(X, OPTIONS) replaces missing values
% (NaNs) in the
www.eeworm.com/read/286662/8751864
m rda.m
function test_targets = RDA (train_patterns, train_targets, test_patterns, lamda)
% Classify using the Regularized descriminant analysis (Friedman shrinkage algorithm)
% Inputs:
% train_patterns
www.eeworm.com/read/372113/9521244
m rda.m
function test_targets = RDA (train_patterns, train_targets, test_patterns, lamda)
% Classify using the Regularized descriminant analysis (Friedman shrinkage algorithm)
% Inputs:
% train_patterns
www.eeworm.com/read/362008/10023922
m rda.m
function test_targets = RDA (train_patterns, train_targets, test_patterns, lamda)
% Classify using the Regularized descriminant analysis (Friedman shrinkage algorithm)
% Inputs:
% train_patterns
www.eeworm.com/read/357874/10199135
m rda.m
function test_targets = RDA (train_patterns, train_targets, test_patterns, lamda)
% Classify using the Regularized descriminant analysis (Friedman shrinkage algorithm)
% Inputs:
% train_patterns
www.eeworm.com/read/425953/10305813
m p_m_aos.m
%% This program implement regularized P_M equation by semi-implicit schema
%% with AOS algorithm.It will call gauss() for calculation of |grad(I_sigama)|
%% and Thomas() to solve a tri-diagonal lini
www.eeworm.com/read/425953/10305972
m p_m_aos.m
%% This program implement regularized P_M equation by semi-implicit schema
%% with AOS algorithm.It will call gauss() for calculation of |grad(I_sigama)|
%% and Thomas() to solve a tri-diagonal lini
www.eeworm.com/read/425953/10306000
m p_m_aos.m
%% This program implement regularized P_M equation by semi-implicit schema
%% with AOS algorithm.It will call gauss() for calculation of |grad(I_sigama)|
%% and Thomas() to solve a tri-diagonal lini