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/258653/4352801
h sound_tester.h
#ifndef _SOUND_TESTER_H
#define _SOUND_TESTER_H
#include "goom_plugin_info.h"
#include "goom_config.h"
/** change les donnees du SoundInfo */
void evaluate_sound(gint16 data[2][512], SoundInfo *sndI
www.eeworm.com/read/471135/6898155
m gcvfctn.m
function g = gcvfctn(h, d, fc2, trS0, dof0)
%GCVFCTN Evaluate object function for generalized cross-validation.
%
% GCVFCTN(h, d, fc2, trS0, dof0) returns the function values of the
% generaliz
www.eeworm.com/read/294611/8216774
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/394381/8227747
m fquad.m
function[val,g] = fquad(x,c,H,mtxmpy,data,D)
%FQUAD Evaluate quadratic function.
% val = FQUAD(x,c,H,mtxmpy,data,D) evaluates the quadratic
% function val = c'*x + .5*x'*D*MTX*D*x, where
% D i
www.eeworm.com/read/392854/8322492
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma,
www.eeworm.com/read/392854/8322627
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Minka,
www.eeworm.com/read/367875/9725028
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/334860/12568191
m fquad.m
function[val,g] = fquad(x,c,H,mtxmpy,data,D)
%FQUAD Evaluate quadratic function.
% val = FQUAD(x,c,H,mtxmpy,data,D) evaluates the quadratic
% function val = c'*x + .5*x'*D*MTX*D*x, where
% D i
www.eeworm.com/read/147186/12578571
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma
www.eeworm.com/read/147186/12578685
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min