乐胖代购免代理版

{"id":"https://openalex.org/W2953073585","doi":"https://doi.org/10.1609/aaai.v28i1.9019","title":"Coactive Learning for Locally Optimal Problem Solving","display_name":"Coactive Learning for Locally Optimal Problem Solving","publication_year":2014,"publication_date":"2014-06-21","ids":{"openalex":"https://openalex.org/W2953073585","doi":"https://doi.org/10.1609/aaai.v28i1.9019","mag":"2953073585"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v28i1.9019","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/9019/8878","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/9019/8878","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075585811","display_name":"Robby Goetschalckx","orcid":null},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"funder","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robby Goetschalckx","raw_affiliation_strings":["Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030052689","display_name":"Alan Fern","orcid":"https://orcid.org/0000-0001-5851-8935"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"funder","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan Fern","raw_affiliation_strings":["Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014260664","display_name":"Prasad Tadepalli","orcid":"https://orcid.org/0000-0003-2736-3912"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"funder","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prasad Tadepalli","raw_affiliation_strings":["Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.574,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.434298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":82},"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9991,"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":0.9991,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.998,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9969,"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/solver","display_name":"Solver","score":0.60315275},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5716183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.61858267},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.60315275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800085},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5716183},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.48374915},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46448928},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33209145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20770314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17092612},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v28i1.9019","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/9019/8878","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1404.5511","pdf_url":"https://arxiv.org/pdf/1404.5511","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v28i1.9019","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/9019/8878","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W2088121730","https://openalex.org/W2097826433","https://openalex.org/W2114503508","https://openalex.org/W2123694750","https://openalex.org/W2128528573","https://openalex.org/W2142261479","https://openalex.org/W2170259985","https://openalex.org/W2784672094","https://openalex.org/W2884475480","https://openalex.org/W2952217334","https://openalex.org/W2953266551","https://openalex.org/W3009009611","https://openalex.org/W51725950"],"related_works":["https://openalex.org/W8322802","https://openalex.org/W68941528","https://openalex.org/W4255427455","https://openalex.org/W4206451355","https://openalex.org/W314331466","https://openalex.org/W3120490799","https://openalex.org/W2186864281","https://openalex.org/W2049545441","https://openalex.org/W1966025497","https://openalex.org/W1553604823"],"abstract_inverted_index":{"Coactive":[0],"learning":[1,36,70],"is":[2,75],"an":[3,52,125],"online":[4,108,150],"problem":[5],"solving":[6],"setting":[7,74],"where":[8,39,51],"the":[9,32,78,83,94,98,129,137,147,152],"solutions":[10],"provided":[11],"by":[12,18,82],"a":[13,19,41,64],"solver":[14],"are":[15,141],"interactively":[16],"improved":[17,120],"domain":[20],"expert,":[21],"which":[22,134],"in":[23,71,131],"turn":[24],"drives":[25],"learning.":[26],"In":[27,103],"this":[28,72],"paper":[29],"we":[30,105],"extend":[31],"study":[33],"of":[34,69,97,128],"coactive":[35,100],"to":[37,58,63,76],"problems":[38],"obtaining":[40],"globally":[42],"optimal":[43],"or":[44,50,119],"near-optimal":[45],"solution":[46],"may":[47],"be":[48,56],"intractable":[49],"expert":[53,84],"can":[54],"only":[55],"expected":[57],"make":[59],"small,":[60],"local":[61],"improvements":[62],"candidate":[65],"solution.":[66],"The":[67],"goal":[68],"new":[73,107],"minimize":[77],"cost":[79,96],"as":[80],"measured":[81],"effort":[85],"over":[86],"time.":[87],"We":[88,123],"first":[89],"establish":[90],"theoretical":[91,121],"bounds":[92],"on":[93],"average":[95],"existing":[99],"Perceptron":[101,138],"algorithm.":[102],"addition,":[104],"consider":[106],"algorithms":[109,140,154],"that":[110,136,145],"use":[111],"cost-sensitive":[112],"and":[113,144],"Passive-Aggressive":[114],"(PA)":[115],"updates,":[116],"showing":[117],"similar":[118],"bounds.":[122],"provide":[124],"empirical":[126],"evaluation":[127],"learners":[130],"various":[132],"domains,":[133],"show":[135],"based":[139],"quite":[142],"effective":[143],"unlike":[146],"case":[148],"for":[149],"classification,":[151],"PA":[153],"do":[155],"not":[156],"yield":[157],"significant":[158],"performance":[159],"gains.":[160]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2953073585","counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-03-19T22:23:53.656806","created_date":"2019-06-27"}