代码搜索：Approximation
找到约 1,542 项符合「Approximation」的源代码
代码结果 1,542
www.eeworm.com/read/396844/2406588
m evidence.m
function [net, gamma, logev] = evidence(net, x, t, num)
%EVIDENCE Re-estimate hyperparameters using evidence approximation.
%
% Description
% [NET] = EVIDENCE(NET, X, T) re-estimates the hyperparamete
www.eeworm.com/read/396844/2407304
m bethe_free_energy.m
function loglik = bethe_free_energy(engine, evidence)
% BETHE_FREE_ENERGY Compute Bethe free energy approximation to the log likelihood
% loglik = bethe_free_energy(engine, evidence)
%
% The Bethe fre
www.eeworm.com/read/393163/2488511
m bethe_free_energy.m
function loglik = bethe_free_energy(engine, evidence)
% BETHE_FREE_ENERGY Compute Bethe free energy approximation to the log likelihood
% loglik = bethe_free_energy(engine, evidence)
%
% The Bethe fre
www.eeworm.com/read/359369/2978388
m evidence.m
function [net, gamma, logev] = evidence(net, x, t, num)
%EVIDENCE Re-estimate hyperparameters using evidence approximation.
%
% Description
% [NET] = EVIDENCE(NET, X, T) re-estimates the hyperpara
www.eeworm.com/read/475765/6778128
m clfftf.m
function [FT,FTmag,FTang] = clfftf(ft,N,Ts)
% CALL: [FT,FTmag,FTang] = clfftf(ft,N,Ts) Compute the DFT
% approximation of the Fourier Transform
% Inputs:
% ft Sampled function of time f(nTs)
www.eeworm.com/read/294144/8250492
cpp ldpc_all_new.cpp
//Gaussian Approximation Density Evolution: version 2
//Author: Zhu, Shenli
//Change Log:
// 7/24 Version 2 change linear search to binary search (bsearch)
// 8/7 Version 3 bug fixed and add
www.eeworm.com/read/172172/9722092
m trainlssvm.m
function [model,b,X,Y] = trainlssvm(model,X,Y)
% Train the support values and the bias term of an LS-SVM for classification or function approximation
%
% >> [alpha, b] = trainlssvm({X,Y,type,gam,ke
www.eeworm.com/read/367440/9748451
m trainlssvm.m
function [model,b,X,Y] = trainlssvm(model,X,Y)
% Train the support values and the bias term of an LS-SVM for classification or function approximation
%
% >> [alpha, b] = trainlssvm({X,Y,type,gam,ke
www.eeworm.com/read/170936/9779146
m evidence.m
function [net, gamma, logev] = evidence(net, x, t, num)
%EVIDENCE Re-estimate hyperparameters using evidence approximation.
%
% Description
% [NET] = EVIDENCE(NET, X, T) re-estimates the hyperparamete
www.eeworm.com/read/415313/11076365
m evidence.m
function [net, gamma, logev] = evidence(net, x, t, num)
%EVIDENCE Re-estimate hyperparameters using evidence approximation.
%
% Description
% [NET] = EVIDENCE(NET, X, T) re-estimates the hyperparamete