{"id":"https://openalex.org/W2075717209","doi":"https://doi.org/10.1145/1553374.1553386","title":"Active learning for directed exploration of complex systems","display_name":"Active learning for directed exploration of complex systems","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2075717209","doi":"https://doi.org/10.1145/1553374.1553386","mag":"2075717209"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},"type":"article","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/A5072399971","display_name":"Michael C. Burl","orcid":"https://orcid.org/0000-0003-2961-3241"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael C. Burl","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA","[California Institute of Technology, Pasadena, CA]"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA","institution_ids":["https://openalex.org/I122411786"]},{"raw_affiliation_string":"[California Institute of Technology, Pasadena, CA]","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086021837","display_name":"Esther Wang","orcid":"https://orcid.org/0000-0001-8284-4386"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Esther Wang","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA","[California Institute of Technology, Pasadena, CA]"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA","institution_ids":["https://openalex.org/I122411786"]},{"raw_affiliation_string":"[California Institute of Technology, Pasadena, CA]","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072399971"],"corresponding_institution_ids":["https://openalex.org/I122411786"],"apc_list":null,"apc_paid":null,"fwci":2.2581,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89439704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9645000100135803,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9599000215530396,"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/computer-science","display_name":"Computer science","score":0.7530373334884644},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.7014303207397461},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6032539010047913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5750001072883606},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5722547769546509},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5593829154968262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48975706100463867},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4588504433631897},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3872831463813782},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1283508539199829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530373334884644},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.7014303207397461},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6032539010047913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5750001072883606},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5722547769546509},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5593829154968262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48975706100463867},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4588504433631897},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3872831463813782},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1283508539199829},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1553374.1553386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:authors.library.caltech.edu:69590","is_oa":false,"landing_page_url":"https://authors.library.caltech.edu/69590/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.8064","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.mcgill.ca/~icml2009/papers/508.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1594662352","https://openalex.org/W1618905105","https://openalex.org/W1965640670","https://openalex.org/W1979412670","https://openalex.org/W1999824796","https://openalex.org/W2018044188","https://openalex.org/W2032536435","https://openalex.org/W2080558295","https://openalex.org/W2098742124","https://openalex.org/W2115305054","https://openalex.org/W2131975033","https://openalex.org/W2140679654","https://openalex.org/W2151023586","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2163454173","https://openalex.org/W2168193965","https://openalex.org/W2426031434","https://openalex.org/W3014245600","https://openalex.org/W3189499042","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W1919390113","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2231829109","https://openalex.org/W2916591301"],"abstract_inverted_index":{"Physics-based":[0],"simulation":[1,63,84],"codes":[2,22],"are":[3,31,86,104,117,138],"widely":[4],"used":[5,119],"in":[6,80],"science":[7],"and":[8,164],"engineering":[9],"to":[10,18,35,106,125,131,168],"model":[11],"complex":[12],"systems":[13],"that":[14,37],"would":[15],"be":[16,169],"infeasible":[17],"study":[19],"otherwise.":[20],"Such":[21],"provide":[23],"the":[24,40,82,93,127,160,166],"highest-fidelity":[25],"representation":[26],"of":[27,71,95,112,151],"system":[28,41,113],"behavior,":[29],"but":[30],"often":[32],"so":[33],"slow":[34],"run":[36,132],"insight":[38],"into":[39,66],"is":[42,77,146],"limited.":[43],"For":[44],"example,":[45],"conducting":[46],"an":[47,121],"exhaustive":[48],"sweep":[49],"over":[50],"a":[51,141,149],"d-dimensional":[52],"input":[53],"parameter":[54],"space":[55],"with":[56],"k-steps":[57],"along":[58],"each":[59,90],"dimension":[60],"requires":[61],"kd":[62,67],"trials":[64,85,130],"(translating":[65],"CPU-days":[68],"for":[69,159],"one":[70],"our":[72],"current":[73],"simulations).":[74],"An":[75],"alternative":[76],"directed":[78],"exploration":[79],"which":[81,155],"next":[83],"cleverly":[87],"chosen":[88],"at":[89],"step.":[91],"Given":[92],"results":[94],"previous":[96],"trials,":[97],"supervised":[98],"learning":[99,123,136],"techniques":[100],"(SVM,":[101],"KDE,":[102],"GP)":[103],"applied":[105],"build":[107],"up":[108],"simplified":[109],"predictive":[110],"models":[111,116],"behavior.":[114],"These":[115],"then":[118],"within":[120],"active":[122,135],"framework":[124],"identify":[126],"most":[128],"valuable":[129],"next.":[133],"Several":[134],"strategies":[137],"examined":[139],"including":[140],"recently-proposed":[142],"information-theoretic":[143],"approach.":[144],"Performance":[145],"evaluated":[147],"on":[148],"set":[150],"thirteen":[152],"synthetic":[153],"oracles,":[154],"serve":[156],"as":[157],"surrogates":[158],"more":[161],"expensive":[162],"simulations":[163],"enable":[165],"experiments":[167],"replicated":[170],"by":[171],"other":[172],"researchers.":[173]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}