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/338238/12317187
h logmeanfield.h
#include "MeanField.h"
#ifndef __LOG_MEAN_FIELD__
#define __LOG_MEAN_FIELD__
class LogMeanField : public MeanField {
/**
This class makes inference using mean-field approximation in the log-
www.eeworm.com/read/230895/14270216
m mls1d.m
% ONE-DIMENSIONAL MLS APPROXIMATION
clear all
% PROBLEM DIFINITION
l = 10.0;
dx = 0.5;
% SET UP NODAL COORDINATES
xi = [0.0 : dx : l];
nnodes = length(xi);
% SET UP COORDINATES OF EV
www.eeworm.com/read/119681/14824453
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/220289/14843734
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/217557/14958808
m stretch_func_fmincon.m
function [f,g] = ...
stretch_func_fmincon(X,sys_eq,ode_param,n_vector)
% Compute objective function for the optimization problem in the flow pipe
% segment approximation procedure for `nonlin
www.eeworm.com/read/214923/15082950
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/212307/15160041
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/13871/284515
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/251838/4415182
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/251522/4419099
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