代码搜索：Bayesian

找到约 1,632 项符合「Bayesian」的源代码

代码结果 1,632
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m model_select2.m

% Online Bayesian model selection demo. % We generate data from the model A->B % and compute the posterior prob of all 3 dags on 2 nodes: % (1) A B, (2) A B % Models 2 and 3 ar
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www.eeworm.com/read/172172/9722167

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
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www.eeworm.com/read/367440/9748552

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
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www.eeworm.com/read/449504/7502103

m recmf.m

function ylevf = recmf(y,nlag,w,freq,nfor,begf,sig,tau,theta,r); % PURPOSE: Estimates a Bayesian error correction model of order n % using Random-Walk averaging prior and produces f-step-ahea
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www.eeworm.com/read/449504/7503089

m sarp_g.m

function results = sarp_g(y,x,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates of the spatial autoregressive probit model % y = rho*W*y + XB + e, e = N(0,I), % B = N(c,T), %
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www.eeworm.com/read/408292/11398049

m generate_bnet_data.m

function data=generate_bnet_data(N,equiv_class,equiv_class_CPTs,parents) %generates data from a bayesian network data=zeros(length(parents),N); for i=1:length(parents) pa=parents{i};
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www.eeworm.com/read/152250/12130882

m stolcke_entropic_demo.m

% Do experiment on p54 of "Bayesian learning of probabilistic language models", % A. Stolcke, PhD thesis, UC Berkeley, 1994 seed = 1; rand('state', seed); randn('state', seed); hmm0 = mk_dhmm_stolck
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www.eeworm.com/read/251529/12339236

cpp kalmanslam.cpp

/* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2004 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use. * * $Id: kalmanSLAM.cpp 598 2006-10-04 19:44:40 +0
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www.eeworm.com/read/251529/12339242

cpp fastslam.cpp

/* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2004 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use. * * $Id: fastSLAM.cpp 564 2006-04-05 20:51:38 +020
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www.eeworm.com/read/251529/12339303

cpp matsup.cpp

/* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use. * * $Id: matSup.cpp 562 2006-04-05 20:46:23 +0200
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