代码搜索：evaluate
找到约 3,619 项符合「evaluate」的源代码
代码结果 3,619
www.eeworm.com/read/449132/7517912
m predprey.m
function [out] = PredPrey(x, y, flag)
%
% Evaluate the right hand side function for the
% Predator Prey model
%
% y_1'(x) = alpha*y_1(x) - beta*y_1(x)*y_2(x)
% y_2'(x) = gamma*y_2(x) + delta*
www.eeworm.com/read/397122/8065785
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
www.eeworm.com/read/331336/12832449
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
www.eeworm.com/read/243898/12908155
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)
www.eeworm.com/read/139320/13161342
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
www.eeworm.com/read/324303/13273709
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
www.eeworm.com/read/318947/13465970
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
www.eeworm.com/read/316944/13514002
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
www.eeworm.com/read/315135/13550399
m cpeval.m
function y = cpeval(m,f,varargin)
%CPEVAL Evaluate multioutput function and return outputs in cell array.
% Y = CPEVAL(M,F,X1,...Xn) returns Y = {Y1,...YM} s.t. [Y1,...YM] =
% F(X1,...Xn).
%
% E
www.eeworm.com/read/259241/11812404
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)