{"id":"https://openalex.org/W3195091599","doi":"https://doi.org/10.1142/s0129065721500453","title":"Generation of Chow Parameters and Reduced Variables Through Nearest Neighbor Relations in Threshold Networks","display_name":"Generation of Chow Parameters and Reduced Variables Through Nearest Neighbor Relations in Threshold Networks","publication_year":2021,"publication_date":"2021-08-25","ids":{"openalex":"https://openalex.org/W3195091599","doi":"https://doi.org/10.1142/s0129065721500453","mag":"3195091599","pmid":"https://pubmed.ncbi.nlm.nih.gov/34435941"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065721500453","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065721500453","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5103015761","display_name":"Naohiro Ishii","orcid":"https://orcid.org/0000-0002-0906-5623"},"institutions":[{"id":"https://openalex.org/I74640424","display_name":"Advanced Institute of Industrial Technology","ror":"https://ror.org/04f9apy08","country_code":"JP","type":"education","lineage":["https://openalex.org/I74640424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naohiro Ishii","raw_affiliation_strings":["Graduate School of Industrial Technology, Advanced Institute of Industrial Technology, Shinagawa-ku, Tokyo 140-0011, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Industrial Technology, Advanced Institute of Industrial Technology, Shinagawa-ku, Tokyo 140-0011, Japan","institution_ids":["https://openalex.org/I74640424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111681115","display_name":"Tokuro Matsuo","orcid":null},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]},{"id":"https://openalex.org/I74640424","display_name":"Advanced Institute of Industrial Technology","ror":"https://ror.org/04f9apy08","country_code":"JP","type":"education","lineage":["https://openalex.org/I74640424"]}],"countries":["JP","TW"],"is_corresponding":false,"raw_author_name":"Tokuro Matsuo","raw_affiliation_strings":["Department of M-Commerce and Multimedia Applications, Asia University, Taichung 41354, Taiwan","Graduate School of Industrial Technology, Advanced Institute of Industrial Technology, Shinagawa-ku, Tokyo 140-0011, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of M-Commerce and Multimedia Applications, Asia University, Taichung 41354, Taiwan","institution_ids":["https://openalex.org/I143578492"]},{"raw_affiliation_string":"Graduate School of Industrial Technology, Advanced Institute of Industrial Technology, Shinagawa-ku, Tokyo 140-0011, Japan","institution_ids":["https://openalex.org/I74640424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1323,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50197811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":"10","first_page":"2150045","last_page":"2150045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9950000047683716,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.804023027420044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5524906516075134},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.536314070224762},{"id":"https://openalex.org/keywords/large-margin-nearest-neighbor","display_name":"Large margin nearest neighbor","score":0.4212058186531067},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.4180065393447876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4008391499519348},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3974687457084656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3815879225730896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3719295859336853}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.804023027420044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5524906516075134},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.536314070224762},{"id":"https://openalex.org/C94475309","wikidata":"https://www.wikidata.org/wiki/Q6489154","display_name":"Large margin nearest neighbor","level":3,"score":0.4212058186531067},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.4180065393447876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4008391499519348},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3974687457084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3815879225730896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3719295859336853},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0129065721500453","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065721500453","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:34435941","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34435941","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of neural systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.4300000071525574,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1519084700","display_name":"Generation of Orthogonal Sub-spaces for Efficient Learning in Layered Neural Networks with Asymmetric Structures","funder_award_id":"20K11957","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1505943987","https://openalex.org/W1553701556","https://openalex.org/W1604146176","https://openalex.org/W2063836706","https://openalex.org/W2098162425","https://openalex.org/W2122111042","https://openalex.org/W2545696445","https://openalex.org/W2567790317","https://openalex.org/W2618716340","https://openalex.org/W2736832651","https://openalex.org/W2795674018","https://openalex.org/W3009948084","https://openalex.org/W3028982043","https://openalex.org/W4232953319","https://openalex.org/W4237630008"],"related_works":["https://openalex.org/W2351157934","https://openalex.org/W2519241726","https://openalex.org/W2375128115","https://openalex.org/W2890061582","https://openalex.org/W2107754327","https://openalex.org/W4246757943","https://openalex.org/W2125687350","https://openalex.org/W2182477562","https://openalex.org/W2381195555","https://openalex.org/W2062957446"],"abstract_inverted_index":{"Generation":[0],"of":[1,40,72,91,99,106,114],"useful":[2,130],"variables":[3,39,119],"and":[4,16,36,57,62],"features":[5],"is":[6],"an":[7,65],"important":[8,66],"issue":[9],"throughout":[10],"the":[11,26,33,37,41,44,48,69,73,82,92,97,100,104,112,117,122],"machine":[12],"learning,":[13],"artificial":[14],"intelligence,":[15],"applied":[17],"fields":[18],"for":[19,32,59,81,96,111,131],"their":[20],"efficient":[21],"computations.":[22],"In":[23],"this":[24],"paper,":[25],"nearest":[27,49,93,123],"neighbor":[28,50,94,124],"relations":[29,51,95,125],"are":[30,52,89,109,126],"proposed":[31],"minimal":[34,56],"generation":[35,71,98],"reduced":[38,101,118],"functions":[42,61],"in":[43,68],"threshold":[45,60],"networks.":[46],"First,":[47],"shown":[53,127],"to":[54,128],"be":[55,129],"inherited":[58],"they":[63,77],"play":[64],"role":[67],"iterative":[70],"Chow":[74,83],"parameters.":[75],"Further,":[76],"give":[78],"a":[79],"solution":[80],"parameters":[84],"problem.":[85],"Second,":[86],"convex":[87,107],"cones":[88,108],"made":[90],"variables.":[102,115],"Then":[103],"edges":[105],"compared":[110],"discrimination":[113],"Finally,":[116],"based":[120],"on":[121],"documents":[132],"classification.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}