{"id":"https://openalex.org/W2162690533","doi":"https://doi.org/10.1016/j.ijar.2013.11.007","title":"Two optimal strategies for active learning of causal models from interventional data","display_name":"Two optimal strategies for active learning of causal models from interventional data","publication_year":2013,"publication_date":"2013-12-09","ids":{"openalex":"https://openalex.org/W2162690533","doi":"https://doi.org/10.1016/j.ijar.2013.11.007","mag":"2162690533"},"language":"en","primary_location":{"id":"doi:10.1016/j.ijar.2013.11.007","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ijar.2013.11.007","pdf_url":null,"source":{"id":"https://openalex.org/S33368595","display_name":"International Journal of Approximate Reasoning","issn_l":"0888-613X","issn":["0888-613X","1873-4731"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Approximate Reasoning","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1205.4174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019499516","display_name":"Alain Hauser","orcid":"https://orcid.org/0000-0002-1553-5812"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Alain Hauser","raw_affiliation_strings":["Department of Biology, Bioinformatics, University of Bern, CH-3012 Bern, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-1553-5812","affiliations":[{"raw_affiliation_string":"Department of Biology, Bioinformatics, University of Bern, CH-3012 Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033240072","display_name":"Peter B\u00fchlmann","orcid":"https://orcid.org/0000-0002-1782-6015"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Peter B\u00fchlmann","raw_affiliation_strings":["Seminar for Statistics, ETH Z\u00fcrich, CH-8092 Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seminar for Statistics, ETH Z\u00fcrich, CH-8092 Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019499516"],"corresponding_institution_ids":["https://openalex.org/I118564535"],"apc_list":{"value":2960,"currency":"USD","value_usd":2960},"apc_paid":null,"fwci":7.3015,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.96945734,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"55","issue":"4","first_page":"926","last_page":"939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9927999973297119,"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/identifiability","display_name":"Identifiability","score":0.9141489267349243},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.6070711612701416},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5009431838989258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5000772476196289},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.47327113151550293},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4513421058654785},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.44443267583847046},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.41509658098220825},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41441068053245544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40823206305503845},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4061153829097748},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35165607929229736},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.2850179374217987},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24256622791290283},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19769635796546936},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12440347671508789}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.9141489267349243},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.6070711612701416},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5009431838989258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5000772476196289},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.47327113151550293},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4513421058654785},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.44443267583847046},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.41509658098220825},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41441068053245544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40823206305503845},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4061153829097748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35165607929229736},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2850179374217987},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24256622791290283},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19769635796546936},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12440347671508789},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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:10.1016/j.ijar.2013.11.007","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ijar.2013.11.007","pdf_url":null,"source":{"id":"https://openalex.org/S33368595","display_name":"International Journal of Approximate Reasoning","issn_l":"0888-613X","issn":["0888-613X","1873-4731"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Approximate Reasoning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1205.4174","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1205.4174","pdf_url":"https://arxiv.org/pdf/1205.4174","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1205.4174","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1205.4174","pdf_url":"https://arxiv.org/pdf/1205.4174","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W114335372","https://openalex.org/W163386900","https://openalex.org/W1510240814","https://openalex.org/W1518082915","https://openalex.org/W1524326598","https://openalex.org/W1528353690","https://openalex.org/W1541824660","https://openalex.org/W1979300931","https://openalex.org/W2037106315","https://openalex.org/W2049910836","https://openalex.org/W2084098328","https://openalex.org/W2086119402","https://openalex.org/W2103659055","https://openalex.org/W2103814088","https://openalex.org/W2111061246","https://openalex.org/W2129632913","https://openalex.org/W2142016203","https://openalex.org/W2149405308","https://openalex.org/W2155573334","https://openalex.org/W2477696559","https://openalex.org/W2591957553","https://openalex.org/W2914331073","https://openalex.org/W3006419771","https://openalex.org/W4248145776","https://openalex.org/W4285719527","https://openalex.org/W4293241248","https://openalex.org/W4300955081","https://openalex.org/W4302423442","https://openalex.org/W6604695892","https://openalex.org/W6630627936","https://openalex.org/W6631197081","https://openalex.org/W6631484360","https://openalex.org/W6632419145","https://openalex.org/W6675531789","https://openalex.org/W6675720458","https://openalex.org/W6679280813","https://openalex.org/W6681187235","https://openalex.org/W6683167872"],"related_works":["https://openalex.org/W2979832559","https://openalex.org/W3128129045","https://openalex.org/W4385077270","https://openalex.org/W4387531643","https://openalex.org/W4324300609","https://openalex.org/W4231150422","https://openalex.org/W2969540655","https://openalex.org/W3164869265","https://openalex.org/W2997970376","https://openalex.org/W4248255116"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":6}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2016-06-24T00:00:00"}