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/137160/13342310

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/314653/13562544

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/493294/6400295

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/400577/11573021

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % [W.R,S,M] = LDC(A,R,S,M) % W = A*LDC([],R,S,M); % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/255755/12057955

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/150905/12249254

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/338293/12314443

m regudemo.m

%REGUDEMO Tutorial script for Regularization Tools. % Per Christian Hansen, IMM, Feb. 21, 2001. echo on clf % Part 1. The discrete Picard condition % -------------------------------------- % % Fir
www.eeworm.com/read/149739/12353551

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/221024/14769289

html http:^^www.cs.wisc.edu^computer-vision^projects^snakes.html

Date: Thu, 07 Nov 1996 19:22:55 GMT Server: NCSA/1.5 Content-type: text/html Last-modified: Tue, 10 Oct 1995 20:33:04 GMT Content-length: 1800 Deformable Contours: Modeling, Ext
www.eeworm.com/read/210916/15189911

m cgsvd.m

function [U,sm,X,V] = cgsvds(A,L) %CGSVD Compact generalized SVD of a matrix pair in regularization problems. % % sm = cgsvd(A,L) % [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] % % Computes the generali