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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m som_dreval.m
function [sig,cm,truex,truey] = som_dreval(sR,D,sigmea,inds1,inds2,andor)
% SOM_DREVAL Evaluate the significance of the given descriptive rule.
%
% [sig,Cm,truex,truey] = som_dreval(cR,D,sigmea,[inds
www.eeworm.com/read/429878/8783874
htm glmhess.htm
Netlab Reference Manual glmhess
glmhess
Purpose
Evaluate the Hessian matrix for a generalised linear model.
Synopsis
www.eeworm.com/read/429878/8784230
htm netgrad.htm
Netlab Reference Manual netgrad
netgrad
Purpose
Evaluate network error gradient for generic optimizers
Synopsis
www.eeworm.com/read/428167/8885966
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)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/427909/8912949
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)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/373249/9467813
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)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/364264/9916862
m nand.m
function y=nand(x1,x2)
%NAND Equivalent to the NOT(AND) functions.
% NAND(X1,X2) returns NOT(AND(X1,X2)).
%
% Input arguments:
% X1,X2 - the pair of numbers to evaluate (double)
%
www.eeworm.com/read/425695/10336605
m hist_isect.m
function K = hist_isect(x1, x2)
% Evaluate a histogram intersection kernel, for example
%
% K = hist_isect(x1, x2);
%
% where x1 and x2 are matrices containing input vectors, where
% each
www.eeworm.com/read/349646/10808458
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)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL