代码搜索：evaluate

找到约 3,619 项符合「evaluate」的源代码

代码结果 3,619
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www.eeworm.com/read/429504/8804772

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/428451/8867204

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/427586/8931971

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/183445/9158660

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/374698/9388844

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/360895/10072660

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/164422/10108693

m gaussian_prob.m

function p = gaussian_prob(x, m, C, use_log) % GAUSSIAN_PROB Evaluate a multivariate Gaussian density. % p = gaussian_prob(X, m, C, use_log) % % p(i) = N(X(:,i), m, C) if use_log = 0 (default) % p(i)
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www.eeworm.com/read/278889/10490489

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/421949/10676040

m simlssvm.m

function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5) % Evaluate the LS-SVM at the given points % % >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt) % >> Yt = simlssvm({X,Y,type,gam,sig2,ker
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www.eeworm.com/read/464858/7061508

m weight.m

function [w, dwdx, dwd2x, dwd3x] = Weight(type, para, di, dmi) % EVALUATE WEIGHT FUNCTION % % SYNTAX: [w, dwdx, dwd2x, dwd3x, dwd4x] = Weight(type, para, di, dmi) % % INPUT PARAMETERS % type
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