乐胖代购免代理版

{"id":"https://openalex.org/W2128211014","doi":"https://doi.org/10.1145/1281192.1281214","title":"Discovering the hidden structure of house prices with a non-parametric latent manifold model","display_name":"Discovering the hidden structure of house prices with a non-parametric latent manifold model","publication_year":2007,"publication_date":"2007-08-12","ids":{"openalex":"https://openalex.org/W2128211014","doi":"https://doi.org/10.1145/1281192.1281214","mag":"2128211014"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281192.1281214","pdf_url":null,"source":null,"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/A5078511139","display_name":"Sumit Chopra","orcid":"https://orcid.org/0009-0009-6637-2230"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"funder","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit Chopra","raw_affiliation_strings":["New York University."],"affiliations":[{"raw_affiliation_string":"New York University.","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030859801","display_name":"Trivikraman Thampy","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"funder","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trivikraman Thampy","raw_affiliation_strings":["New York University."],"affiliations":[{"raw_affiliation_string":"New York University.","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054212764","display_name":"John Leahy","orcid":"https://orcid.org/0000-0001-5221-0884"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"funder","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Leahy","raw_affiliation_strings":["New York University."],"affiliations":[{"raw_affiliation_string":"New York University.","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058539967","display_name":"Andrew Caplin","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"funder","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Caplin","raw_affiliation_strings":["New York University."],"affiliations":[{"raw_affiliation_string":"New York University.","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001226970","display_name":"Yann LeCun","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"funder","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yann LeCun","raw_affiliation_strings":["New York University."],"affiliations":[{"raw_affiliation_string":"New York University.","institution_ids":["https://openalex.org/I57206974"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.45,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":25,"citation_normalized_percentile":{"value":0.941874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"182"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9791,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9755,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.59655917},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5845866},{"id":"https://openalex.org/keywords/semiparametric-model","display_name":"Semiparametric model","score":0.5731519},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41664922}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.74386543},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6235844},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.59655917},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5845866},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.5731519},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49374208},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.46425325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45975518},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4567988},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4257836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41664922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4135188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30496874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2420952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2351734},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09937355},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281192.1281214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.83,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W1493122757","https://openalex.org/W1527882638","https://openalex.org/W1537400860","https://openalex.org/W1679913846","https://openalex.org/W1978712773","https://openalex.org/W1994610198","https://openalex.org/W2025797685","https://openalex.org/W2038274993","https://openalex.org/W2038600851","https://openalex.org/W2050394872","https://openalex.org/W2083701011","https://openalex.org/W2123866109","https://openalex.org/W2148524156","https://openalex.org/W2161914416","https://openalex.org/W2328689554","https://openalex.org/W3122160311","https://openalex.org/W3122912982","https://openalex.org/W3124889194","https://openalex.org/W3129711340"],"related_works":["https://openalex.org/W62001224","https://openalex.org/W4393387622","https://openalex.org/W4243467573","https://openalex.org/W3145681568","https://openalex.org/W3122667150","https://openalex.org/W3032390039","https://openalex.org/W2461917396","https://openalex.org/W2037497866","https://openalex.org/W1584341211","https://openalex.org/W1502435251"],"abstract_inverted_index":{"In":[0],"many":[1],"regression":[2],"problems,":[3],"the":[4,37,40,44,47,70,74,88,99,118,151],"variable":[5],"to":[6],"be":[7],"predicted":[8,93],"depends":[9],"not":[10,51],"only":[11],"on":[12,19,36,43,125],"a":[13,65,83,96,114,126],"sample-specific":[14],"feature":[15],"vector,":[16],"but":[17],"also":[18,146],"an":[20],"unknown":[21],"(latent)":[22],"manifold":[23],"that":[24,68],"must":[25],"satisfy":[26],"known":[27],"constraints.":[28],"An":[29],"example":[30],"is":[31,50,64,82,98],"house":[32,75,97],"prices,":[33],"which":[34,49],"depend":[35],"characteristics":[38],"of":[39,46,73,87,95,101,117,129,150],"house,":[41],"and":[42,105,142],"desirability":[45,152],"neighborhood,":[48],"directly":[52],"measurable.":[53],"The":[54,61,79,92,107,121],"proposed":[55],"method":[56],"comprises":[57],"two":[58,108],"trainable":[59],"components.":[60],"first":[62],"one":[63,81],"parametric":[66,141],"model":[67,86,122],"predicts":[69],"\"intrinsic\"":[71],"price":[72,94,104],"from":[76,131],"its":[77,102],"description.":[78],"second":[80],"smooth,":[84],"non-parametric":[85,143],"latent":[89],"\"desirability\"":[90],"manifold.":[91],"product":[100],"intrinsic":[103],"desirability.":[106],"components":[109],"are":[110],"trained":[111,124],"simultaneously":[112],"using":[113],"deterministic":[115],"form":[116],"EM":[119],"algorithm.":[120],"was":[123],"large":[127],"dataset":[128],"houses":[130],"Los":[132],"Angeles":[133],"county.":[134],"It":[135,145],"produces":[136,147],"better":[137],"predictions":[138],"than":[139],"pure":[140],"models.":[144],"useful":[148],"estimates":[149],"surface":[153],"at":[154],"each":[155],"location.":[156]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2128211014","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-04-16T15:08:21.517179","created_date":"2016-06-24"}