代码搜索：Bayesian
找到约 1,632 项符合「Bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/352543/10541978
m torr_mapsac_f.m
% By Philip Torr 2002
% copyright Microsoft Corp.
%MAPSAC is the Bayesian version of MLESAC, and it is easier to pronounce!
%
% %designed for the good of the world by Philip Torr based on ideas c
www.eeworm.com/read/352543/10542025
m torr_napsac_f.m
% By Philip Torr 2002
% copyright Microsoft Corp.
%MAPSAC is the Bayesian version of MLESAC, and it is easier to pronounce!
%
% %designed for the good of the world by Philip Torr based on ideas c
www.eeworm.com/read/159560/10639922
m torr_mapsac_f.m
% By Philip Torr 2002
% copyright Microsoft Corp.
%MAPSAC is the Bayesian version of MLESAC, and it is easier to pronounce!
%
% %designed for the good of the world by Philip Torr based on ideas c
www.eeworm.com/read/159560/10639966
m torr_napsac_f.m
% By Philip Torr 2002
% copyright Microsoft Corp.
%MAPSAC is the Bayesian version of MLESAC, and it is easier to pronounce!
%
% %designed for the good of the world by Philip Torr based on ideas c
www.eeworm.com/read/449504/7502048
m becm.m
function results = becm(y,nlag,tight,weight,decay,r)
% PURPOSE: performs Bayesian error correction model estimation
% using Minnesota-type prior
%---------------------------------------------
www.eeworm.com/read/196932/8040073
m bcminit.m
function net = bcminit(net, Xtrain, Ytrain, assignment)
% bcminit - Initialization for Bayesian Committee Machine (BCM)
%
% Synopsis:
% net = bcminit(net,Xtrain,Ytrain,assignment)
%
% Arguments:
www.eeworm.com/read/396900/8083488
m bnmsgpassupdate.m
function [nodes, edges, A, ahat] = bnMsgPassNetUpdate(nodes, edges, A, ahat, V, vhat)
% BNMSGPASSUPDATE helper function for lungbayesdemo
% Reference: Neapolitan R., "Learning Bayesian Networks",
www.eeworm.com/read/396900/8083501
m bnmsgpasssendpimsg.m
function [nodes, edges] = bnMsgPassSendPiMsg(Z, X, nodes, edges, A)
%BNMSGPASSSENDPIMSG helper function for lungbayesdemo
% Reference: Neapolitan R., "Learning Bayesian Networks", Pearson Prenti
www.eeworm.com/read/396900/8083523
asv bnmsgpasssendpimsg.asv
function [nodes, edges] = bnMsgPassSendPiMsg(Z, X, nodes, edges, A)
%BNMSGPASSSENDPIMSG helper function for lungbayesdemo
% Reference: Neapolitan R., "Learning Bayesian Networks", Pearson Prenti
www.eeworm.com/read/396900/8083527
m bnmsgpassinitiate.m
function [nodes, edges] = bnMsgPassInitiate(nodes, edges, root)
% BNMSGPASSINITIATE helper function for lungbayesdemo
% Reference: Neapolitan R., "Learning Bayesian Networks", Pearson Prentice Hal