代码搜索：Variables
找到约 10,000 项符合「Variables」的源代码
代码结果 10,000
www.eeworm.com/read/184617/9091702
m svmlspex02.m
%SVMLSPex02.m
%Two Dimension SVM Problem, Two Class and Separable Situation
%
%%Difference with SVMLSPex01.m:
% Take the Largrange Function (16)as object function insteads ||W||,
% s
www.eeworm.com/read/182374/9205799
m runbneda.m
function[Max,k,BestSolutions]=RunBNEDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,Card,Elitism,TypeLearning,MaxParent,epsilon,mwst,star,SCORE)
% EDA that uses as a probabilistic model a Bayesian
www.eeworm.com/read/181830/9235678
m issingular.m
function yesno = issingular(S)
% ISSINGULAR -- checks whether a symbolic matrix is singular
%
% yesno = issingular(S)
%
% We test for singularity by testing whether the determinant
% is zero
www.eeworm.com/read/181830/9235705
m issymbolic.m
function yesno = issymbolic(S)
% ISSYMBOLIC -- checks whether a matrix contains symbolic variables
%
% yesno = issymbolic(S)
%
% This is NOT the converse of ISNUMERIC. The purpose of thi
www.eeworm.com/read/181830/9235779
m issymbolic.m
function yesno = issymbolic(P)
% ISSYMBOLIC -- check whether matrix polynomial contains symbolic variables
%
% yesno = issymbolic(P)
%
% This is NOT the converse of ISNUMERIC. The purpose
www.eeworm.com/read/375212/9368795
m powerpls.m
function m = powerpls(x,y,lv,powers);
%POWERPLS Continuum regression using Wise-Ricker power method
% This function calculates regression vectors using the
% continuum regression method develope
www.eeworm.com/read/375212/9368826
m simpls1.m
function b = simpls1(x,y,maxlv)
%SIMPLS1 minimum implementation of simpls for PLS1
% Inputs are the matrix of predictor variables (x), vector
% of predicted variables (y) and maximum number of la
www.eeworm.com/read/375212/9369130
m cr.m
function b = cr(x,y,lv,powers);
%CR Continuum Regression for multivariate y
% The inputs are the matrix of predictor variables (x), matrix
% or vector of predicted variables (y), number of latent
www.eeworm.com/read/375212/9369153
m plscvbkf.m
function [press,cumpress,minlv,b] = plscvbkf(x,y,split,lv)
%PLSCVBKF Fast Cross validation for PLS using contiguous data blocks
% This function is primarily intended for use with GENALG
% Inputs
www.eeworm.com/read/375075/9373444
m pbntrueerrors.m
function E = pbnTrueErrors(v,F,k)
% E = pbnTrueErrors(v,F,k) - True prediction error for steady-state
%
% Function computes the true prediction error for all the predictors in F
% relative to st