代码搜索：Regularization

找到约 355 项符合「Regularization」的源代码

代码结果 355
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m perform_homotopy.m

function [X,lambda_list,sparsity_list] = perform_homotopy(D,y,options) % perform_homotopy - compute the L1 regularization path % % X = perform_homotopy(D,y,options); % % Copyright (c) 2008 Gabrie
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www.eeworm.com/read/474583/6813091

m~ perform_homotopy.m~

function [X,lambda_list,sparsity_list] = perform_homotopy(D,y,options) % perform_homotopy - compute the L1 regularization path % % X = perform_homotopy(D,y,options); % % Copyright (c) 2008 Gabrie
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www.eeworm.com/read/161189/10439669

m tgsvd.m

function [x_k,rho,eta] = tgsvd(U,sm,X,b,k) %TGSVD Truncated GSVD regularization. % % [x_k,rho,eta] = tgsvd(U,sm,X,b,k) , sm = [sigma,mu] % % Computes the truncated GSVD solution % [
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www.eeworm.com/read/418911/10891913

m cgsvd.m

function [U,sm,X,V,W] = cgsvd(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] % [U,sm,X,V,W] = cgsvd(A
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www.eeworm.com/read/338293/12314420

m cgsvd.m

function [U,sm,X,V,W] = cgsvd(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] % [U,sm,X,V,W] = cgsvd(A
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www.eeworm.com/read/344585/3207858

m lssvr.m

function [ROCarea,alfa,b,e,Yhat,se]=lssvr(Xs,Ys,gam,sig2) % LS-SVM regression + ROC curve % Xs: N x #inputs % Ys: N x 1 % N = number of training data % gam = regularization constant %
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www.eeworm.com/read/418911/10892013

m tgsvd.m

function [x_k,rho,eta] = tgsvd(U,sm,X,b,k) %TGSVD Truncated GSVD regularization. % % [x_k,rho,eta] = tgsvd(U,sm,X,b,k) , sm = [sigma,mu] % % Computes the truncated GSVD solution % [ 0
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www.eeworm.com/read/338293/12314646

m tgsvd.m

function [x_k,rho,eta] = tgsvd(U,sm,X,b,k) %TGSVD Truncated GSVD regularization. % % [x_k,rho,eta] = tgsvd(U,sm,X,b,k) , sm = [sigma,mu] % % Computes the truncated GSVD solution % [ 0
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www.eeworm.com/read/210916/15189959

m tgsvd.m

function [x_k,rho,eta] = tgsvd(U,sm,X,b,k) %TGSVD Truncated GSVD regularization. % % [x_k,rho,eta] = tgsvd(U,sm,X,b,k) , sm = [sigma,mu] % % Computes the truncated GSVD solution % [ 0
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www.eeworm.com/read/161189/10439699

m lagrange.m

function [La,dLa,lambda0] = lagrange(U,s,b,more) %LAGRANGE Plot the Lagrange function for Tikhonov regularization. % % [La,dLa,lambda0] = lagrange(U,s,b,more) % [La,dLa,lambda0] = lagrange(U,sm,b,
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