{"id":"https://openalex.org/W3089979815","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207216","title":"Decision Surfaces of Localized Classifiers","display_name":"Decision Surfaces of Localized Classifiers","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089979815","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207216","mag":"3089979815"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5021714932","display_name":"C. Scott Brown","orcid":null},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Scott Brown","raw_affiliation_strings":["School of Computing, University of South Alabama, Mobile, AL"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of South Alabama, Mobile, AL","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005864826","display_name":"Ryan Benton","orcid":"https://orcid.org/0000-0001-9616-6221"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan G. Benton","raw_affiliation_strings":["School of Computing, University of South Alabama, Mobile, AL"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of South Alabama, Mobile, AL","institution_ids":["https://openalex.org/I83809506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021714932"],"corresponding_institution_ids":["https://openalex.org/I83809506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1172147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"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":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9976000189781189,"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":0.6206653714179993},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6027498245239258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5906291007995605},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5635707974433899},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5284972786903381},{"id":"https://openalex.org/keywords/parametric-surface","display_name":"Parametric surface","score":0.5229802131652832},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5040808916091919},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4404330849647522},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4351341724395752},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.42674893140792847},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4266815185546875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4162313640117645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.359001100063324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3541625440120697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.352316677570343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6206653714179993},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6027498245239258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5906291007995605},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5635707974433899},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5284972786903381},{"id":"https://openalex.org/C2187777","wikidata":"https://www.wikidata.org/wiki/Q1071743","display_name":"Parametric surface","level":3,"score":0.5229802131652832},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5040808916091919},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4404330849647522},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4351341724395752},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.42674893140792847},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4266815185546875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4162313640117645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.359001100063324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3541625440120697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.352316677570343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1541212715","https://openalex.org/W1563247097","https://openalex.org/W1597926580","https://openalex.org/W1618905105","https://openalex.org/W1689445748","https://openalex.org/W1971713783","https://openalex.org/W2024081693","https://openalex.org/W2029438113","https://openalex.org/W2050947749","https://openalex.org/W2056763477","https://openalex.org/W2067191022","https://openalex.org/W2075852426","https://openalex.org/W2096496077","https://openalex.org/W2118585731","https://openalex.org/W2131202691","https://openalex.org/W2155195660","https://openalex.org/W2163605009","https://openalex.org/W2164500538","https://openalex.org/W2165828254","https://openalex.org/W2287216150","https://openalex.org/W3004747380","https://openalex.org/W3100742177","https://openalex.org/W4210969899","https://openalex.org/W6636501900","https://openalex.org/W6674723449","https://openalex.org/W6677656871","https://openalex.org/W6682891771","https://openalex.org/W6684191040","https://openalex.org/W7055120948"],"related_works":["https://openalex.org/W240272210","https://openalex.org/W4239527082","https://openalex.org/W2372186565","https://openalex.org/W2089645512","https://openalex.org/W2379343790","https://openalex.org/W2359967926","https://openalex.org/W2355137669","https://openalex.org/W4251903213","https://openalex.org/W2127685231","https://openalex.org/W1999869750"],"abstract_inverted_index":{"Local":[0],"learning":[1],"algorithms":[2],"are":[3],"a":[4,23,46,67,81,106],"very":[5],"general":[6],"class":[7,108],"of":[8,17,25,56,66,80,97,109,127,129,162],"non-parametric":[9],"lazy":[10],"learners":[11],"obtained":[12],"by":[13,146],"stitching":[14],"together":[15],"systems":[16,55,128],"locally":[18,130],"weighted":[19],"parametric":[20],"models.":[21],"For":[22],"system":[24],"locally-learned":[26],"classifiers,":[27],"there":[28],"is":[29,69],"currently":[30],"no":[31],"convenient":[32],"method":[33,91,164],"to":[34,83,92,165],"find":[35,93],"points":[36],"on":[37,171],"the":[38,51,77,84,102,115,120,124,160],"decision":[39,52,64,85,103,125],"surface.":[40,86],"In":[41],"this":[42,94,138,163],"paper,":[43],"we":[44,158],"introduce":[45],"generic":[47],"algorithm":[48],"for":[49,54,72,105,118,142,148],"finding":[50],"surface":[53,65,104,126],"localized":[57],"classifiers":[58,170],"using":[59],"arbitrary":[60,99],"model":[61],"families.":[62,111],"The":[63],"classifier":[68,110],"often":[70],"useful":[71],"obtaining":[73],"pseudo-probabilistic":[74,143],"output":[75],"from":[76],"orthogonal":[78,95,121],"distance":[79],"point":[82,100],"We":[87,112,135],"therefore":[88],"extend":[89],"our":[90],"projection":[96,122],"an":[98],"onto":[101,123],"broad":[107],"specifically":[113],"derive":[114],"necessary":[116],"equations":[117],"computing":[119],"linear":[131],"support":[132],"vector":[133],"machines.":[134],"demonstrate":[136,159],"how":[137],"can":[139],"be":[140],"used":[141],"calibration,":[144],"and":[145],"extension":[147],"multiclass":[149],"classification":[150],"strategies":[151],"such":[152],"as":[153],"one-vs-rest":[154],"or":[155],"one-vs-one.":[156],"Lastly,":[157],"efficacy":[161],"obtain":[166],"more":[167],"accurate":[168],"multi-class":[169],"popular":[172],"datasets.":[173]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}