代码搜索：Inference
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www.eeworm.com/read/367440/9748417
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/385178/6285175
txt readme.txt
Structural EM for BNT
Written by Wei Hu (wei.hu@intel.com) 2002
The attached files are SEM codes and test applications.
It is based on the junction tree inference engine, and use BK approximation
www.eeworm.com/read/481892/6632120
m demo.m
% repetition code and convolutional code using Belief Propagation Inference
% decoding on AWGN channel using matlab or octave if sparse matrix support
% is added.
% V 1.1 04/15/05
% Mail comments to J
www.eeworm.com/read/338238/12317197
h swendsenwang.h
#include "MonteCarlo.h"
#include "PottsMRF.h"
#ifndef __SWENDSEN_WANG__
#define __SWENDSEN_WANG__
class SwendsenWang : public MonteCarlo {
/**
This class makes inference using Swendsen-Wang
www.eeworm.com/read/338238/12317200
cpp meanfield.cpp
#include "MeanField.h"
#include
double** MeanField::inference(int* converged) {
// define a threshold for convergence
double dBel = 0.0;
double epsilon = pow(10.,-200);
double** pre
www.eeworm.com/read/123143/14645442
m plotfis.m
function plotfis(fis)
%PLOTFIS Display FIS input-output diagram.
% PLOTFIS(FISMAT) creates an input-output display of the fuzzy
% inference system associated with the FIS matrix FISMAT. All
%
www.eeworm.com/read/13871/284203
m hsinference.m
function [Gamma,Gammasum,Xi]=hsinference(Xtrain,T,N,hmm)
% [Gamma,Gammasum,Xi]=hsinference(Xtrain,T,N,hmm,options)
%
% inference engine for HMMs.
%
% INPUT
%
% Xtrain observation sequence
% T
www.eeworm.com/read/160391/5571205
m chmm1.m
% Compare the speeds of various inference engines on a coupled HMM
N = 3;
Q = 2;
rand('state', 0);
randn('state', 0);
discrete = 0;
if discrete
Y = 2; % size of output alphabet
else
Y =
www.eeworm.com/read/160391/5571220
m chmm1.m
% Compare the speeds of various inference engines on a coupled HMM
N = 2;
Q = 2;
rand('state', 0);
randn('state', 0);
discrete = 1;
if discrete
Y = 2; % size of output alphabet
else
Y =
www.eeworm.com/read/334076/12642550
m plotfis.m
function plotfis(fis)
%PLOTFIS Display FIS input-output diagram.
% PLOTFIS(FISMAT) creates an input-output display of the fuzzy
% inference system associated with the FIS matrix FISMAT. All
%