代码搜索：gradient
找到约 2,951 项符合「gradient」的源代码
代码结果 2,951
www.eeworm.com/read/212307/15160136
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/212307/15160200
m rbfgrad.m
function [g, gdata, gprior] = rbfgrad(net, x, t)
%RBFGRAD Evaluate gradient of error function for RBF network.
%
% Description
% G = RBFGRAD(NET, X, T) takes a network data structure NET together
% wi
www.eeworm.com/read/210259/15202717
m mutual_mimo_deri_symm_barr.m
function [fgrad_mean, fhess_mean, fmutual_mean] = ...
mutual_mimo_deri_symm_barr(barr_t, M, N, H0, Rt_sqrt, gamma, Q_new, ...
NSAMPLE, ind1, ind2, I, Nx, Nr);
www.eeworm.com/read/209281/15223908
m canny.m
% CANNY - Canny edge detection
%
% Function to perform Canny edge detection. Code uses modifications as
% suggested by Fleck (IEEE PAMI No. 3, Vol. 14. March 1992. pp 337-345)
%
% Usage: [gradient or]
www.eeworm.com/read/167562/5455361
cpp helper.cpp
/****************************************************************************
**
** Copyright (C) 2006-2006 Trolltech ASA. All rights reserved.
**
** This file is part of the example classes of the Qt
www.eeworm.com/read/167562/5455560
cpp renderarea.cpp
/****************************************************************************
**
** Copyright (C) 2005-2006 Trolltech ASA. All rights reserved.
**
** This file is part of the example classes of the Qt
www.eeworm.com/read/475765/6778133
m p13_17.m
% P13_17.M Surface normals to a sphere
%
% In this case, the command sphere can be used. Otherwise, compute the
% gradient. Then, use command surfnorm to plot results.
%
clear
clf
[x,y,z]=sphe
www.eeworm.com/read/472944/6860492
m canny.m
% CANNY - Canny edge detection
%
% Function to perform Canny edge detection. Code uses modifications as
% suggested by Fleck (IEEE PAMI No. 3, Vol. 14. March 1992. pp 337-345)
%
% Usage: [gradient or]
www.eeworm.com/read/295595/8150710
m gradlbfixed.m
function [grad] = gradlbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,pow);
%GRADLBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADLBFIXED(SIGMA,INDSUP,ALPSUP,W0,C,X
www.eeworm.com/read/295595/8150718
m gradlfixed.m
function [grad] = gradlfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,pow);
%GRADLFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADLFIXED(SIGMA,INDSUP,ALPSUP,C,XAPP,YAPP,