{"id":"https://openalex.org/W2618016951","doi":"https://doi.org/10.24963/ijcai.2017/215","title":"Optimal Feature Selection for Decision Robustness in Bayesian Networks","display_name":"Optimal Feature Selection for Decision Robustness in Bayesian Networks","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2618016951","doi":"https://doi.org/10.24963/ijcai.2017/215","mag":"2618016951"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/215","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/215","pdf_url":"https://www.ijcai.org/proceedings/2017/0215.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0215.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101966664","display_name":"YooJung Choi","orcid":"https://orcid.org/0009-0009-8102-4170"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"YooJung Choi","raw_affiliation_strings":["University of California, Los Angeles","Computer Science Department University of California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027252816","display_name":"Adnan Darwiche","orcid":"https://orcid.org/0000-0003-3976-6735"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adnan Darwiche","raw_affiliation_strings":["University of California, Los Angeles","Computer Science Department University of California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009539513","display_name":"Guy Van den Broeck","orcid":"https://orcid.org/0000-0003-3434-2503"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guy Van den Broeck","raw_affiliation_strings":["University of California, Los Angeles","Computer Science Department University of California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101966664"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":1.455,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86532333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1554","last_page":"1560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714526057243347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6962481737136841},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6941735148429871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6710810661315918},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6630344986915588},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6189219355583191},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5371502041816711},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5191149711608887},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.455333411693573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44593432545661926},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44002532958984375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3273114562034607},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1464957594871521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714526057243347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6962481737136841},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6941735148429871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6710810661315918},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6630344986915588},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6189219355583191},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5371502041816711},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5191149711608887},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.455333411693573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44593432545661926},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44002532958984375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3273114562034607},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1464957594871521},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/215","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/215","pdf_url":"https://www.ijcai.org/proceedings/2017/0215.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/215","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/215","pdf_url":"https://www.ijcai.org/proceedings/2017/0215.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2068902905","display_name":"BIGDATA: F: Open-World Foundations for Big Uncertain Data","funder_award_id":"1633857","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G325363908","display_name":"RI: Medium: Sentential Decision Diagrams","funder_award_id":"1514253","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G364012270","display_name":null,"funder_award_id":"N00014-15-1-2339","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4892802285","display_name":null,"funder_award_id":"IIS-1514253","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G626412182","display_name":null,"funder_award_id":"#N66001-17-2-4","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6491371590","display_name":null,"funder_award_id":"N66001-17-2-4032","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G7931865478","display_name":null,"funder_award_id":"4-15-1-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2618016951.pdf","grobid_xml":"https://content.openalex.org/works/W2618016951.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W36707155","https://openalex.org/W189719929","https://openalex.org/W207890491","https://openalex.org/W1535430927","https://openalex.org/W1661660971","https://openalex.org/W1909318870","https://openalex.org/W1949847137","https://openalex.org/W1959656505","https://openalex.org/W1994163801","https://openalex.org/W2038897673","https://openalex.org/W2051857605","https://openalex.org/W2062818807","https://openalex.org/W2101523958","https://openalex.org/W2105644481","https://openalex.org/W2117269589","https://openalex.org/W2125737395","https://openalex.org/W2150280772","https://openalex.org/W2150959276","https://openalex.org/W2154055561","https://openalex.org/W2279506187","https://openalex.org/W2296278168","https://openalex.org/W2402839980","https://openalex.org/W2417383780","https://openalex.org/W2577196261","https://openalex.org/W2577440644","https://openalex.org/W2951699500","https://openalex.org/W3099451540","https://openalex.org/W3104376605","https://openalex.org/W3106409394","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4385770464","https://openalex.org/W2417174640","https://openalex.org/W4224262160","https://openalex.org/W3120363735","https://openalex.org/W4214820172","https://openalex.org/W2394323384"],"abstract_inverted_index":{"In":[0],"many":[1],"applications,":[2],"one":[3],"can":[4],"define":[5],"a":[6,30,97,104],"large":[7],"set":[8],"of":[9,33,59,133],"features":[10,34,53],"to":[11,26,80],"support":[12],"the":[13,56,60,64,77,94,128],"classification":[14],"task":[15],"at":[16],"hand.":[17],"At":[18],"test":[19],"time,":[20],"however,":[21],"these":[22],"become":[23],"prohibitively":[24],"expensive":[25],"evaluate,":[27],"and":[28,130],"only":[29],"small":[31],"subset":[32],"is":[35],"used,":[36],"often":[37],"selected":[38],"for":[39,86,107],"their":[40],"information-theoretic":[41],"value.":[42],"For":[43],"threshold-based,":[44],"Naive":[45,119],"Bayes":[46],"classifiers,":[47,90],"recent":[48],"work":[49],"has":[50],"suggested":[51],"selecting":[52],"that":[54,62,111],"maximize":[55],"expected":[57,65,83],"robustness":[58],"classifier,":[61],"is,":[63],"probability":[66,85],"it":[67],"maintains":[68],"its":[69],"decision":[70],"after":[71],"seeing":[72],"more":[73,124],"features.":[74],"We":[75],"propose":[76],"first":[78],"algorithm":[79,106],"compute":[81],"this":[82,134],"same-decision":[84],"general":[87,125],"Bayesian":[88],"network":[89,95],"based":[91],"on":[92,118],"compiling":[93],"into":[96],"tractable":[98],"circuit":[99,115],"representation.":[100],"Moreover,":[101],"we":[102],"develop":[103],"search":[105],"optimal":[108],"feature":[109],"selection":[110],"utilizes":[112],"efficient":[113],"incremental":[114],"modifications.":[116],"Experiments":[117],"Bayes,":[120],"as":[121,123],"well":[122],"networks,":[126],"show":[127],"efficacy":[129],"distinct":[131],"behavior":[132],"decision-making":[135],"approach.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
