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A new approach for convert multiply-connected trees in Bayesian networks

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors: Hussein, Baloochian, Alireza, Khantimoory, Saeed, Balochian
Other Authors: Hossein.baloochian@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Bayesian networks
Neural networks (Computer science)
Bayesian statistical decision theory > Data processing
Geometric function theory
Probability
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7309
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id my.unimap-7309
record_format dspace
spelling my.unimap-73092010-01-18T06:47:31Z A new approach for convert multiply-connected trees in Bayesian networks Hussein, Baloochian Alireza, Khantimoory Saeed, Balochian Hossein.baloochian@gmail.com Bayesian networks Neural networks (Computer science) Bayesian statistical decision theory -- Data processing Geometric function theory Probability Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. One of the purposes of the Bayesian networks is inference. There have different algorithms for this purpose. Message passing algorithms us one of the inference approaches on the junction trees. However all of the Bayesian networks are not singly-connected tree, but solution was presented for making junction tree from multiply-connected tree. This article presents a new approach for converting multiply-connected tree to junction tree by moor and meely machine concepts. This approach is based on edge labeling by conditional probability, then moral and triangulation steps transact based on five-step design. 2009-11-17T07:36:06Z 2009-11-17T07:36:06Z 2009-10-11 Working Paper p.3A5 1 - 3A5 5 http://hdl.handle.net/123456789/7309 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bayesian networks
Neural networks (Computer science)
Bayesian statistical decision theory -- Data processing
Geometric function theory
Probability
spellingShingle Bayesian networks
Neural networks (Computer science)
Bayesian statistical decision theory -- Data processing
Geometric function theory
Probability
Hussein, Baloochian
Alireza, Khantimoory
Saeed, Balochian
A new approach for convert multiply-connected trees in Bayesian networks
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 Hossein.baloochian@gmail.com
author_facet Hossein.baloochian@gmail.com
Hussein, Baloochian
Alireza, Khantimoory
Saeed, Balochian
format Working Paper
author Hussein, Baloochian
Alireza, Khantimoory
Saeed, Balochian
author_sort Hussein, Baloochian
title A new approach for convert multiply-connected trees in Bayesian networks
title_short A new approach for convert multiply-connected trees in Bayesian networks
title_full A new approach for convert multiply-connected trees in Bayesian networks
title_fullStr A new approach for convert multiply-connected trees in Bayesian networks
title_full_unstemmed A new approach for convert multiply-connected trees in Bayesian networks
title_sort new approach for convert multiply-connected trees in bayesian networks
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7309
_version_ 1643788755119636480
score 13.214268

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