{"id":"https://openalex.org/W108487744","doi":null,"title":"Causal Discovery via MML.","display_name":"Causal Discovery via MML.","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W108487744","mag":"108487744"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.200.3670","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.200.3670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cm.deakin.edu.au/~hdai/Pub/causal-icml96.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111412013","display_name":"Chris S. Wallace","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chris S. Wallace","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059657954","display_name":"Kevin B. Korb","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin B. Korb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101756423","display_name":"Honghua Dai","orcid":"https://orcid.org/0000-0001-9899-7029","observed_orcids":["https://orcid.org/0000-0001-9899-7029"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Honghua Dai","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9899-7029","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7898,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.92484378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":1.0,"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":1.0,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.0,"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/T10778","display_name":"Philosophy of Biology and Scientific Explanation","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-discovery","display_name":"causal discovery","score":0.9959999918937683},{"id":"https://openalex.org/keywords/minimum-message-length","display_name":"minimum message length","score":0.9760000109672546},{"id":"https://openalex.org/keywords/bayesian-network-structure-learning","display_name":"Bayesian network structure learning","score":0.7570000290870667},{"id":"https://openalex.org/keywords/linear-causal-models","display_name":"linear causal models","score":0.9359999895095825},{"id":"https://openalex.org/keywords/bayesian-learning","display_name":"Bayesian learning","score":0.6460000276565552},{"id":"https://openalex.org/keywords/inductive-reasoning","display_name":"inductive reasoning","score":0.7940000295639038},{"id":"https://openalex.org/keywords/causal-modeling","display_name":"causal models","score":0.3529999852180481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053963541984558},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6168379783630371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5872955322265625},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.5604345202445984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534942150115967},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5360124111175537},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.44368797540664673},{"id":"https://openalex.org/C147727578","wikidata":"https://www.wikidata.org/wiki/Q7706297","display_name":"Tetrad","level":2,"score":0.42204374074935913},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42030656337738037},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.41330486536026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3937801718711853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14348194003105164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13466417789459229},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.200.3670","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.200.3670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cm.deakin.edu.au/~hdai/Pub/causal-icml96.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.51.1102","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.1102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.monash.edu.au/~korb/causal-disc.ps.Z","raw_type":"text"},{"id":"mag:108487744","doi":null,"is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/conf/icml/icml1996.html#WallaceKD96","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W63792389","https://openalex.org/W170307911","https://openalex.org/W1503500124","https://openalex.org/W1517993545","https://openalex.org/W1524326598","https://openalex.org/W1568555062","https://openalex.org/W1590398161","https://openalex.org/W1603085310","https://openalex.org/W1988814833","https://openalex.org/W1998250792","https://openalex.org/W1999067727","https://openalex.org/W2009231037","https://openalex.org/W2059718122","https://openalex.org/W2075164088","https://openalex.org/W2321231980","https://openalex.org/W2328418989","https://openalex.org/W2905472553","https://openalex.org/W2978908610"],"related_works":["https://openalex.org/W6889757482","https://openalex.org/W1607116132","https://openalex.org/W2171681677","https://openalex.org/W2148683827","https://openalex.org/W6908393706","https://openalex.org/W2139759157","https://openalex.org/W1580482105","https://openalex.org/W1591028080","https://openalex.org/W3185062523","https://openalex.org/W1583956832"],"abstract_inverted_index":{"Automating":[0],"the":[1,18,33,67,84,94],"learning":[2,16],"of":[3,20,35,83,93,98],"causal":[4,36,55,73,127],"models":[5,74],"from":[6,75],"sample":[7],"data":[8,77],"is":[9,107,115],"a":[10,29,39,141],"key":[11],"step":[12],"toward":[13],"incorporating":[14],"machine":[15,131],"in":[17,62],"automation":[19],"decision-making":[21],"and":[22,49,113],"reasoning":[23],"under":[24],"uncertainty.":[25],"This":[26],"paper":[27,64],"presents":[28],"Bayesian":[30,125,135],"approach":[31,70],"to":[32],"discovery":[34],"models,":[37],"using":[38],"Minimum":[40],"Message":[41],"Length":[42],"(MML)":[43],"method.":[44],"We":[45],"have":[46],"developed":[47],"encoding":[48],"search":[50],"methods":[51],"for":[52],"discovering":[53],"linear":[54],"models.":[56],"The":[57],"initial":[58],"experimental":[59],"results":[60,88],"presented":[61],"this":[63],"show":[65],"that":[66],"MML":[68,114,123],"induction":[69],"can":[71],"recover":[72],"generated":[76],"which":[78],"are":[79],"quite":[80],"accurate":[81],"reflections":[82],"original":[85],"models;":[86],"our":[87],"compare":[89],"favorably":[90],"with":[91,109],"those":[92],"TETRAD":[95],"II":[96],"program":[97],"Spirtes":[99],"et":[100],"al.":[101],"[25]":[102],"even":[103],"when":[104],"their":[105],"algorithm":[106],"supplied":[108],"prior":[110],"temporal":[111],"information":[112],"not.":[116],"Keywords:":[117],"Causal":[118],"discovery,":[119],"minimum":[120],"message":[121],"length,":[122],"induction,":[124],"learning,":[126],"modeling,":[128],"inductive":[129],"inference,":[130],"learning.":[132],"1":[133],"Introduction":[134],"network":[136],"technology,":[137],"despite":[138],"being":[139],"only":[140],"decade":[142],"old":[143],"[19,":[144],"17],":[145],"has":[146],"alread...":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
