{"id":"https://openalex.org/W2086676509","doi":"https://doi.org/10.1109/isit.2012.6284017","title":"Learning minimal latent directed information trees","display_name":"Learning minimal latent directed information trees","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2086676509","doi":"https://doi.org/10.1109/isit.2012.6284017","mag":"2086676509"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2012.6284017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2012.6284017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5102889443","display_name":"Jalal Etesami","orcid":"https://orcid.org/0000-0002-8655-5028"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jalal Etesami","raw_affiliation_strings":["Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, IL, USA","Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, Illinois 61801"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I183874917"]},{"raw_affiliation_string":"Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, Illinois 61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012789968","display_name":"Negar Kiyavash","orcid":"https://orcid.org/0000-0002-8545-7709"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Negar Kiyavash","raw_affiliation_strings":["Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, IL, USA","Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, Illinois 61801"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I183874917"]},{"raw_affiliation_string":"Department of Industrial and Enterprising Systems Engineering, University of Illinois, Urbana, Illinois 61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046582466","display_name":"Todd P. Coleman","orcid":"https://orcid.org/0000-0002-2144-2495"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I4210133661","display_name":"La Jolla Bioengineering Institute","ror":"https://ror.org/03sgbh608","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210133661"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd P. Coleman","raw_affiliation_strings":["Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA","*Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"*Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093;","institution_ids":["https://openalex.org/I36258959","https://openalex.org/I4210133661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2726","last_page":"2730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9961000084877014,"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":0.9961000084877014,"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/T10320","display_name":"Neural Networks and Applications","score":0.9811000227928162,"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":0.979200005531311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6921558976173401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733106374740601},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.595467746257782},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5519341230392456},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4611317217350006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45374804735183716},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44959890842437744},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4298023581504822},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.42418649792671204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4201836585998535},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3272339701652527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32660675048828125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21701115369796753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21338248252868652},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.1896744966506958}],"concepts":[{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6921558976173401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733106374740601},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.595467746257782},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5519341230392456},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4611317217350006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45374804735183716},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44959890842437744},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4298023581504822},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.42418649792671204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4201836585998535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3272339701652527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32660675048828125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21701115369796753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21338248252868652},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.1896744966506958},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2012.6284017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2012.6284017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.682.5685","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.5685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://coleman.ucsd.edu/wp-content/uploads/2011/08/EKC-ISIT-2012-FINAL.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1489262227","https://openalex.org/W1675720414","https://openalex.org/W1995615099","https://openalex.org/W2002746599","https://openalex.org/W2005560667","https://openalex.org/W2018640312","https://openalex.org/W2103396489","https://openalex.org/W2107745473","https://openalex.org/W2129058877","https://openalex.org/W2136010267","https://openalex.org/W2136783219","https://openalex.org/W2140911775","https://openalex.org/W2149268774","https://openalex.org/W2150546315","https://openalex.org/W2155264731","https://openalex.org/W2157510479","https://openalex.org/W2159080219","https://openalex.org/W2161260504","https://openalex.org/W2163166770","https://openalex.org/W2166944917","https://openalex.org/W2171853113","https://openalex.org/W2174375947","https://openalex.org/W2950631236","https://openalex.org/W2952892048","https://openalex.org/W3123110981","https://openalex.org/W4300167274","https://openalex.org/W6629574937"],"related_works":["https://openalex.org/W4286900141","https://openalex.org/W2729758100","https://openalex.org/W2071459461","https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2516987005","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820"],"abstract_inverted_index":{"THIS":[0],"PAPER":[1,7],"IS":[2],"ELIGIBLE":[3],"FOR":[4],"THE":[5],"STUDENT":[6],"AWARD":[8],"-":[9],"We":[10],"propose":[11],"a":[12,19,42,56,76,104],"framework":[13],"for":[14],"learning":[15],"the":[16,35,69,80,87],"structure":[17],"of":[18,44,46,59,82,94,106],"minimal":[20,36],"latent":[21,37,95],"tree":[22,40],"with":[23],"an":[24],"associated":[25],"discrepancy":[26],"measure.":[27],"Specifically,":[28],"we":[29],"apply":[30],"this":[31,85],"algorithm":[32],"to":[33],"recover":[34],"directed":[38,65],"information":[39,53,66],"on":[41,64],"mixture":[43],"set":[45],"observed":[47],"and":[48],"unobserved":[49],"random":[50,73],"processes.":[51,107],"Directed":[52],"trees":[54],"are":[55,100],"new":[57],"type":[58,93],"probabilistic":[60],"graphical":[61,96],"model":[62],"based":[63],"that":[67,90],"represent":[68],"casual":[70],"dynamics":[71],"among":[72],"processes":[74],"in":[75],"stochastic":[77],"systems.":[78],"To":[79],"best":[81],"our":[83],"knowledge,":[84],"is":[86],"first":[88],"approach":[89],"recovers":[91],"these":[92],"models":[97],"where":[98],"samples":[99],"available":[101],"only":[102],"from":[103],"subset":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}