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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www.eeworm.com/read/161189/10439663

m tsvd.m

function [x_k,rho,eta] = tsvd(U,s,V,b,k) %TSVD Truncated SVD regularization. % % [x_k,rho,eta] = tsvd(U,s,V,b,k) % % Computes the truncated SVD solution % x_k = V(:,1:k)*inv(diag(s(1:k)))*U(:
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www.eeworm.com/read/372996/9480715

m tsvd.m

function [x_k,rho,eta] = tsvd(U,s,V,b,k) %TSVD Truncated SVD regularization. % % [x_k,rho,eta] = tsvd(U,s,V,b,k) % % Computes the truncated SVD solution % x_k = V(:,1:k)*inv(diag(s(1:k)))*U(:,1:k)'
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www.eeworm.com/read/418911/10891952

m tsvd.m

function [x_k,rho,eta] = tsvd(U,s,V,b,k) %TSVD Truncated SVD regularization. % % [x_k,rho,eta] = tsvd(U,s,V,b,k) % % Computes the truncated SVD solution % x_k = V(:,1:k)*inv(diag(s(1:k)))*U(:,1:k)'
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www.eeworm.com/read/453605/7416525

m tsvd.m

function [x_k,rho,eta] = tsvd(U,s,V,b,k) %TSVD Truncated SVD regularization. % % [x_k,rho,eta] = tsvd(U,s,V,b,k) % % Computes the truncated SVD solution % x_k = V(:,1:k)*inv(diag(s(1:k)))*U(:,1:k)'
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www.eeworm.com/read/338293/12314537

m tsvd.m

function [x_k,rho,eta] = tsvd(U,s,V,b,k) %TSVD Truncated SVD regularization. % % [x_k,rho,eta] = tsvd(U,s,V,b,k) % % Computes the truncated SVD solution % x_k = V(:,1:k)*inv(diag(s(1:k)))*U(:,1:k)'
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www.eeworm.com/read/210916/15189934

m tsvd.m

function [x_k,rho,eta] = tsvd(U,s,V,b,k) %TSVD Truncated SVD regularization. % % [x_k,rho,eta] = tsvd(U,s,V,b,k) % % Computes the truncated SVD solution % x_k = V(:,1:k)*inv(diag(s(1:k)))*U(:,1:k)'
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www.eeworm.com/read/390840/8437999

m nnd13train_br.m

function [net,tr] = nnd13train_br(trainParam,P,T,VV,TT,func_test,perf_plot,mer_plot,pause_time,b1_plot,b2_plot,gamk_plot) % TRAIN_BR % Bayesian Regularization Algorithm for an R-S1-S2 networ
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www.eeworm.com/read/491824/6426826

m nnd13train_br.m

function [net,tr] = nnd13train_br(trainParam,P,T,VV,TT,func_test,perf_plot,mer_plot,pause_time,b1_plot,b2_plot,gamk_plot) % TRAIN_BR % Bayesian Regularization Algorithm for an R-S1-S2 networ
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www.eeworm.com/read/414357/11119018

m nnd13train_br.m

function [net,tr] = nnd13train_br(trainParam,P,T,VV,TT,func_test,perf_plot,mer_plot,pause_time,b1_plot,b2_plot,gamk_plot) % TRAIN_BR % Bayesian Regularization Algorithm for an R-S1-S2 networ
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www.eeworm.com/read/161189/10440109

m maxentfs.m

%generate the maxent regularization function figure bookfonts; x=0.01:.01:6; f1=x.^2; f2=x.*log(x); f3=x.*log(0.2*x); f4=x.*log(5*x); figure(1) bookfonts plot(x,f1,'-k') hold on plot(x,f2,':k') plot(x
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