Discovery of context-specific Markov blankets

The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is...

Full description

Saved in:
Bibliographic Details
Main Authors: Klein, A., Shimony, S.E.
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Bayesian methods
Computer science
control theory
systems
Context modeling
Control theory. Systems
Data mining
Exact sciences and technology
Knowledge representation
Learning systems
Mathematics
Probability
Random variables
Robots
Topology
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 3838 vol.4
container_issue
container_start_page 3833
container_title
container_volume 4
creator Klein, A.
Shimony, S.E.
description The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of the data in practice. An algorithm for discovery of the CSMB is presented, and empirical results show that it is capable of successfully recovering context specific (''local") structures.
doi_str_mv 10.1109/ICSMC.2004.1400942
format conference_proceeding
fullrecord <record><control><sourceid>pascalfrancis_CHZPO</sourceid><recordid>TN_cdi_pascalfrancis_primary_17524042</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1400942</ieee_id><sourcerecordid>17524042</sourcerecordid><originalsourceid>FETCH-LOGICAL-i205t-38aa2d8ce25b4393c54fbb59b20305c48cbce6fd54b163763455947b9e0d7b423</originalsourceid><addsrcrecordid>eNpFkM1KAzEURoM_4LT6ArqZjcuMNze5yWQpY9VCiwsV3JUkk4HY2imTodi3F6zg6iy-w7c4jF0LqIQAezdvXpdNhQCqEgrAKjxhBZIxXGiiUzYBU4OsSWtzxgoBGrlF_Lhgk5w_ARCUqAvGH1IO_T4Oh7LvytBvx_g98ryLIXUplEs3rPt96Tduu45jvmTnndvkePXHKXt_nL01z3zx8jRv7hc8IdDIZe0ctnWISF5JKwOpznuyHkECBVUHH6LuWlJeaGm0VERWGW8jtMYrlFN2e_zduRzcphvcNqS82g3pyw2HlTCECn69m6OXYoz_8zGH_AEv9FCs</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Discovery of context-specific Markov blankets</title><source>IEEE Xplore All Conference Series</source><creator>Klein, A. ; Shimony, S.E.</creator><creatorcontrib>Klein, A. ; Shimony, S.E.</creatorcontrib><description>The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of the data in practice. An algorithm for discovery of the CSMB is presented, and empirical results show that it is capable of successfully recovering context specific (''local") structures.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 0780385667</identifier><identifier>ISBN: 9780780385665</identifier><identifier>EISSN: 2577-1655</identifier><identifier>DOI: 10.1109/ICSMC.2004.1400942</identifier><language>eng</language><publisher>Piscataway NJ: IEEE</publisher><subject>Applied sciences ; Bayesian methods ; Computer science; control theory; systems ; Context modeling ; Control theory. Systems ; Data mining ; Exact sciences and technology ; Knowledge representation ; Learning systems ; Mathematics ; Probability ; Random variables ; Robots ; Topology</subject><ispartof>2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004, Vol.4, p.3833-3838 vol.4</ispartof><rights>2006 INIST-CNRS</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1400942$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1400942$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17524042$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Klein, A.</creatorcontrib><creatorcontrib>Shimony, S.E.</creatorcontrib><title>Discovery of context-specific Markov blankets</title><title>2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)</title><addtitle>ICSMC</addtitle><description>The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of the data in practice. An algorithm for discovery of the CSMB is presented, and empirical results show that it is capable of successfully recovering context specific (''local") structures.</description><subject>Applied sciences</subject><subject>Bayesian methods</subject><subject>Computer science; control theory; systems</subject><subject>Context modeling</subject><subject>Control theory. Systems</subject><subject>Data mining</subject><subject>Exact sciences and technology</subject><subject>Knowledge representation</subject><subject>Learning systems</subject><subject>Mathematics</subject><subject>Probability</subject><subject>Random variables</subject><subject>Robots</subject><subject>Topology</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>0780385667</isbn><isbn>9780780385665</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkM1KAzEURoM_4LT6ArqZjcuMNze5yWQpY9VCiwsV3JUkk4HY2imTodi3F6zg6iy-w7c4jF0LqIQAezdvXpdNhQCqEgrAKjxhBZIxXGiiUzYBU4OsSWtzxgoBGrlF_Lhgk5w_ARCUqAvGH1IO_T4Oh7LvytBvx_g98ryLIXUplEs3rPt96Tduu45jvmTnndvkePXHKXt_nL01z3zx8jRv7hc8IdDIZe0ctnWISF5JKwOpznuyHkECBVUHH6LuWlJeaGm0VERWGW8jtMYrlFN2e_zduRzcphvcNqS82g3pyw2HlTCECn69m6OXYoz_8zGH_AEv9FCs</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Klein, A.</creator><creator>Shimony, S.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Discovery of context-specific Markov blankets</title><author>Klein, A. ; Shimony, S.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i205t-38aa2d8ce25b4393c54fbb59b20305c48cbce6fd54b163763455947b9e0d7b423</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Bayesian methods</topic><topic>Computer science; control theory; systems</topic><topic>Context modeling</topic><topic>Control theory. Systems</topic><topic>Data mining</topic><topic>Exact sciences and technology</topic><topic>Knowledge representation</topic><topic>Learning systems</topic><topic>Mathematics</topic><topic>Probability</topic><topic>Random variables</topic><topic>Robots</topic><topic>Topology</topic><toplevel>online_resources</toplevel><creatorcontrib>Klein, A.</creatorcontrib><creatorcontrib>Shimony, S.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Klein, A.</au><au>Shimony, S.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Discovery of context-specific Markov blankets</atitle><btitle>2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)</btitle><stitle>ICSMC</stitle><date>2004</date><risdate>2004</risdate><volume>4</volume><spage>3833</spage><epage>3838 vol.4</epage><pages>3833-3838 vol.4</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>0780385667</isbn><isbn>9780780385665</isbn><abstract>The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of the data in practice. An algorithm for discovery of the CSMB is presented, and empirical results show that it is capable of successfully recovering context specific (''local") structures.</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/ICSMC.2004.1400942</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1062-922X
ispartof 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004, Vol.4, p.3833-3838 vol.4
issn 1062-922X
2577-1655
language eng
recordid cdi_pascalfrancis_primary_17524042
source IEEE Xplore All Conference Series
subjects Applied sciences
Bayesian methods
Computer science
control theory
systems
Context modeling
Control theory. Systems
Data mining
Exact sciences and technology
Knowledge representation
Learning systems
Mathematics
Probability
Random variables
Robots
Topology
title Discovery of context-specific Markov blankets
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T06%3A10%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Discovery%20of%20context-specific%20Markov%20blankets&rft.btitle=2004%20IEEE%20International%20Conference%20on%20Systems,%20Man%20and%20Cybernetics%20(IEEE%20Cat.%20No.04CH37583)&rft.au=Klein,%20A.&rft.date=2004&rft.volume=4&rft.spage=3833&rft.epage=3838%20vol.4&rft.pages=3833-3838%20vol.4&rft.issn=1062-922X&rft.eissn=2577-1655&rft.isbn=0780385667&rft.isbn_list=9780780385665&rft_id=info:doi/10.1109/ICSMC.2004.1400942&rft_dat=%3Cpascalfrancis_CHZPO%3E17524042%3C/pascalfrancis_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i205t-38aa2d8ce25b4393c54fbb59b20305c48cbce6fd54b163763455947b9e0d7b423%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1400942&rfr_iscdi=true