乐胖代购免代理版

{"id":"https://openalex.org/W2996792398","doi":"https://doi.org/10.1609/aaai.v34i04.5774","title":"A Constraint-Based Approach to Learning and Explanation","display_name":"A Constraint-Based Approach to Learning and Explanation","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W2996792398","doi":"https://doi.org/10.1609/aaai.v34i04.5774","mag":"2996792398"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i04.5774","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5774/5630","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_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":"gold","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5774/5630","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088953993","display_name":"Gabriele Ciravegna","orcid":"https://orcid.org/0000-0002-6799-1043"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Ciravegna","raw_affiliation_strings":["University of Florence"],"affiliations":[{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058772124","display_name":"Francesco Giannini","orcid":"https://orcid.org/0000-0001-8492-8110"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Giannini","raw_affiliation_strings":["University of Siena"],"affiliations":[{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006137186","display_name":"Stefano Melacci","orcid":"https://orcid.org/0000-0002-0415-0888"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Melacci","raw_affiliation_strings":["University of Siena"],"affiliations":[{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080411641","display_name":"Marco Maggini","orcid":"https://orcid.org/0000-0002-6428-1265"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Maggini","raw_affiliation_strings":["University of Siena"],"affiliations":[{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022658803","display_name":"Marco Gori","orcid":"https://orcid.org/0000-0001-6337-5430"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Gori","raw_affiliation_strings":["University of Siena"],"affiliations":[{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.203,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":7,"citation_normalized_percentile":{"value":0.999816,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":82,"max":84},"biblio":{"volume":"34","issue":"04","first_page":"3658","last_page":"3665"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9755,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9418,"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/regularization","display_name":"Regularization","score":0.5817712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731329},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6649575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984974},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5817712},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.53591585},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.52500737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45812592},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45413503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45065826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4471406},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35859585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20972517},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i04.5774","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5774/5630","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_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":false,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-03402664","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://hal.science/hal-03402664","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/203876","pdf_url":"https://www.openaccessrepository.it/record/203876/files/fulltext.pdf","source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":["Istituto Nazionale di Fisica Nucleare, Sezione di Catania"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i04.5774","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5774/5630","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_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":[{"score":0.42,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1835243625","https://openalex.org/W1901367599","https://openalex.org/W2051601975","https://openalex.org/W2062154476","https://openalex.org/W2111141597","https://openalex.org/W2142137407","https://openalex.org/W2145470394","https://openalex.org/W2201744460","https://openalex.org/W2206671546","https://openalex.org/W2520858206","https://openalex.org/W2522925973","https://openalex.org/W2522961925","https://openalex.org/W2590041095","https://openalex.org/W2806039192","https://openalex.org/W2808243688","https://openalex.org/W2963277062","https://openalex.org/W2964194917","https://openalex.org/W4206898991","https://openalex.org/W4244296837","https://openalex.org/W53470755"],"related_works":["https://openalex.org/W4300101996","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W2382521049","https://openalex.org/W2338854850","https://openalex.org/W2184239527","https://openalex.org/W2165950148","https://openalex.org/W2144385241","https://openalex.org/W2142393343","https://openalex.org/W1585007175"],"abstract_inverted_index":{"In":[0,58,124],"the":[1,12,15,22,28,33,83,108,121,134,137,152,155,165,173,178],"last":[2],"few":[3],"years":[4],"we":[5,61,126,170],"have":[6],"seen":[7],"a":[8,40,63,91,128],"remarkable":[9],"progress":[10,29],"from":[11],"cultivation":[13],"of":[14,17,25,35,43,68,85,93,111,120,136,143,182],"idea":[16,79],"expressing":[18],"domain":[19],"knowledge":[20,150],"by":[21,177],"mathematical":[23],"notion":[24],"constraint.":[26],"However,":[27],"has":[30],"mostly":[31],"involved":[32],"process":[34,105],"providing":[36],"consistent":[37],"solutions":[38],"with":[39],"given":[41],"set":[42,92],"constraints,":[44,48,95],"whereas":[45],"learning":[46,67],"\u201cnew\u201d":[47],"that":[49,114,131],"express":[50],"new":[51,112],"knowledge,":[52],"is":[53,71,161],"still":[54],"an":[55],"open":[56],"challenge.":[57],"this":[59],"paper":[60],"propose":[62],"novel":[64,149],"approach":[65],"to":[66,101,107,163],"constraints":[69,113,140],"which":[70,169],"based":[72],"on":[73,151],"information":[74,86],"theoretic":[75],"principles.":[76],"The":[77],"basic":[78],"consists":[80],"in":[81,117,141,168],"maximizing":[82],"transfer":[84],"between":[87,154],"task":[88],"functions":[89],"and":[90],"learnable":[94],"implemented":[96],"using":[97],"neural":[98],"networks":[99],"subject":[100],"L1":[102],"regularization.":[103],"This":[104],"leads":[106],"unsupervised":[109],"development":[110],"are":[115],"fulfilled":[116],"different":[118],"sub-portions":[119],"input":[122],"domain.":[123],"addition,":[125],"define":[127],"simple":[129],"procedure":[130],"can":[132],"explain":[133],"behaviour":[135],"newly":[138],"devised":[139],"terms":[142],"First-Order":[144],"Logic":[145],"formulas,":[146],"thus":[147],"extracting":[148],"relationships":[153],"original":[156],"tasks.":[157],"An":[158],"experimental":[159],"evaluation":[160],"provided":[162],"support":[164],"proposed":[166,179],"approach,":[167],"also":[171],"explore":[172],"regularization":[174],"effects":[175],"introduced":[176],"Information-Based":[180],"Learning":[181],"Constraint":[183],"(IBLC)":[184],"algorithm.":[185]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2996792398","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-01-05T18:36:02.335644","created_date":"2020-01-10"}