乐胖代购免代理版

{"id":"https://openalex.org/W4309675332","doi":"https://doi.org/10.1109/smc53654.2022.9945214","title":"Factorization Machine-based Unsupervised Model Selection Method","display_name":"Factorization Machine-based Unsupervised Model Selection Method","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309675332","doi":"https://doi.org/10.1109/smc53654.2022.9945214"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945214","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5061581158","display_name":"Ruyi Zhang","orcid":"https://orcid.org/0000-0002-3378-4601"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyi Zhang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429826","display_name":"Yijie Wang","orcid":"https://orcid.org/0000-0002-2913-4016"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Wang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091676049","display_name":"Hongzuo Xu","orcid":"https://orcid.org/0000-0001-8074-1244"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzuo Xu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073429776","display_name":"Haifang Zhou","orcid":"https://orcid.org/0000-0001-5952-8983"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifang Zhou","raw_affiliation_strings":["College of Computer, National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":59},"biblio":{"volume":null,"issue":null,"first_page":"796","last_page":"802"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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/T12535","display_name":"Machine Learning and Data Classification","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/T12761","display_name":"Data Stream Mining Techniques","score":0.9977,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9935,"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/leverage","display_name":"Leverage (statistics)","score":0.6852627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81886876},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6852627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6852322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66875666},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.6236601},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.50265956},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.48017302},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42798498},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4186735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3647082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11690503},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945214","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320311649","funder_display_name":"Ministry of Education","award_id":null},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":null},{"funder":"https://openalex.org/F4320330215","funder_display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","award_id":null},{"funder":"https://openalex.org/F4320337504","funder_display_name":"Research and Development","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W122178443","https://openalex.org/W1507030697","https://openalex.org/W1992554260","https://openalex.org/W2165607334","https://openalex.org/W2182361439","https://openalex.org/W2295739661","https://openalex.org/W2296719434","https://openalex.org/W2474041037","https://openalex.org/W2753433947","https://openalex.org/W2889666927","https://openalex.org/W2943857514","https://openalex.org/W2964983698","https://openalex.org/W2978745145","https://openalex.org/W3004149215","https://openalex.org/W3088496551","https://openalex.org/W3100203766","https://openalex.org/W3156823866","https://openalex.org/W3158610901","https://openalex.org/W3168527239","https://openalex.org/W3212272194","https://openalex.org/W4205660500","https://openalex.org/W4238746485","https://openalex.org/W4293407536","https://openalex.org/W4295312788","https://openalex.org/W4399647672","https://openalex.org/W76331760"],"related_works":["https://openalex.org/W4381571012","https://openalex.org/W3006008237","https://openalex.org/W2950281908","https://openalex.org/W2849310602","https://openalex.org/W2794559785","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2081900870","https://openalex.org/W2013873776","https://openalex.org/W1754499339"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"is":[2,24,97],"broadly":[3],"used":[4,186],"in":[5],"many":[6],"intelligent":[7],"cybernetic":[8],"systems.":[9],"With":[10],"the":[11,14,18,83,90,109,162,176],"burgeoning":[12],"of":[13,16,20,79,92,119,169,178],"communities":[15],"AI,":[17],"number":[19],"machine":[21],"learning-based":[22],"models":[23,81],"rapidly":[25],"increasing,":[26],"but":[27],"picking":[28],"a":[29,42,46,61,125,166,189,194],"suitable":[30],"and":[31,77,94,105,155,171,213],"optimal":[32],"(or":[33],"relatively":[34],"good)":[35],"model":[36,63,69,103,129,134,140,153,191,206],"from":[37],"overwhelming":[38],"options":[39],"has":[40],"become":[41],"conundrum":[43],"when":[44,108,192],"deploying":[45],"new":[47,65,84,195],"system.":[48],"Therefore,":[49],"we":[50,58,137,147],"are":[51,86],"motivated":[52],"by":[53,174,221],"an":[54],"intriguing":[55],"question:":[56],"Can":[57],"automatically":[59],"select":[60,188],"proper":[62,190],"for":[64],"data?":[66],"However,":[67],"unsupervised":[68,128],"selection":[70,130,135,207],"poses":[71],"two":[72],"main":[73],"challenges:":[74],"(i)":[75],"Evaluation":[76],"comparison":[78],"candidate":[80],"on":[82,142],"data":[85,106],"infeasible":[87],"due":[88],"to":[89,99,187],"lack":[91],"labels;":[93],"(ii)":[95],"It":[96],"non-trivial":[98],"build":[100],"relationships":[101,151],"between":[102,111,152],"performance":[104,141,154,164,208],"characteristics":[107,113],"interaction":[110],"these":[112,120],"should":[114],"be":[115,184],"considered.":[116],"In":[117],"light":[118],"limitations,":[121],"this":[122],"paper":[123],"proposes":[124],"factorization":[126,179],"machine-based":[127],"method.":[131],"Following":[132],"mainstream":[133],"protocols,":[136],"also":[138],"leverage":[139],"prior":[143],"known":[144],"datasets.":[145],"Differently,":[146],"learn":[148],"higher-order":[149],"complex":[150],"dataset":[156],"characteristics.":[157],"Specifically,":[158],"our":[159,201,214],"method":[160,202,215],"transfers":[161],"historical":[163],"into":[165],"second-order":[167],"function":[168,182],"meta-features":[170],"embedding":[172],"weights":[173],"harnessing":[175],"power":[177],"machine.":[180],"This":[181],"can":[183],"subsequently":[185],"given":[193],"dataset.":[196],"Extensive":[197],"experiments":[198],"show":[199],"that":[200],"obtains":[203],"more":[204],"superior":[205],"than":[209,218],"five":[210],"state-of-the-art":[211],"approaches,":[212],"executes":[216],"faster":[217],"its":[219],"competitors":[220],"approximate":[222],"three":[223],"magnitudes.":[224]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4309675332","counts_by_year":[],"updated_date":"2025-03-02T04:54:09.143411","created_date":"2022-11-29"}