代码搜索：Bayesian

找到约 1,632 项符合「Bayesian」的源代码

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txt readme.txt

This set of Matlab (7.0) functions contain the core code for generating Fig.2 and Figs.4(a,b) of the following paper: "Bayesian Compressive Sensing" Shihao Ji, Ya Xue, and Lawrence Carin (Prepr
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www.eeworm.com/read/413912/11137216

m demev2.m

%DEMEV2 Demonstrate Bayesian classification for the MLP. % % Description % A synthetic two class two-dimensional dataset X is sampled from a % mixture of four Gaussians. Each class is associated wit
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www.eeworm.com/read/284259/8952314

description

Package: sbgcop Title: Semiparametric Bayesian Gaussian copula estimation Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff Description: This pa
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description

Package: sbgcop Title: Semiparametric Bayesian Gaussian copula estimation Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff Description: This packa
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www.eeworm.com/read/283824/8986639

m sampleflow.m

% Jana Kosecka, (c) George Mason University, Fall 99 % these 3-tap (and others) filters are decribed in the paper % E. Simmoncelli: Bayesian multi-scale differential optical flow. % Different size
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www.eeworm.com/read/281447/9155234

m fcalc.m

% Function to calculate the lower bound F, for the variational Bayesian state-space model. % % Broken down into 6 parts. These should be obvious with reference to thesis. % % Matthew J. Beal GCNU 01/
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www.eeworm.com/read/177674/9442552

m fevbayes.m

function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess) %FEVBAYES Evaluate Bayesian regularisation for network forward propagation. % % Description % EXTRA = FEVBAYES(NET, Y, A, X, T, X
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www.eeworm.com/read/176823/9483235

m fevbayes.m

function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess) %FEVBAYES Evaluate Bayesian regularisation for network forward propagation. % % Description % EXTRA = FEVBAYES(NET, Y, A, X, T, X
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www.eeworm.com/read/161855/10361126

1 bayesol.1

\" t .TH BAYESOL 1 "Bayesian Classification Tools" "Version 1.3" "" .SH NAME bayesol \- a Bayes solution calculator for use with dbacl. .SH SYNOPSIS .HP .B bayesol [-DVniv] -c .I riskspec [FILE]... .
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www.eeworm.com/read/449504/7502087

m bvarf_g.m

function ylevf = bvarf_g(y,nlag,nfor,begf,prior,ndraw,nomit,x,transf); % PURPOSE: Gibbs sampling forecasts for Bayesian vector % autoregressive model using Minnesota-type prior % y
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