{"id":"https://openalex.org/W4286306243","doi":"https://doi.org/10.23919/ascc56756.2022.9828328","title":"Reduced Computation for Extreme Learning Machine Based on Cholesky Factorization","display_name":"Reduced Computation for Extreme Learning Machine Based on Cholesky Factorization","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286306243","doi":"https://doi.org/10.23919/ascc56756.2022.9828328"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828328","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828328","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","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/A5088039255","display_name":"Ig. Prasetya Dwi Wibawa","orcid":"https://orcid.org/0000-0002-4411-8882"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Ignatius Prasetya Dwi Wibawa","raw_affiliation_strings":["Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057802496","display_name":"Carmadi Machbub","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Carmadi Machbub","raw_affiliation_strings":["Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082087244","display_name":"Arief Syaichu Rohman","orcid":"https://orcid.org/0000-0003-4160-1075"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arief Syaichu Rohman","raw_affiliation_strings":["Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113203561","display_name":"Egi Hidayat","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Egi Hidayat","raw_affiliation_strings":["Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia,40132","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088039255"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26389787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"488","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9908999800682068,"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/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.9741164445877075},{"id":"https://openalex.org/keywords/moore\u2013penrose-pseudoinverse","display_name":"Moore\u2013Penrose pseudoinverse","score":0.7932345867156982},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7367188930511475},{"id":"https://openalex.org/keywords/minimum-degree-algorithm","display_name":"Minimum degree algorithm","score":0.7136516571044922},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6585835218429565},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5633359551429749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420350432395935},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5295915007591248},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5150110721588135},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.44416049122810364},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4421415328979492},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41304218769073486},{"id":"https://openalex.org/keywords/incomplete-cholesky-factorization","display_name":"Incomplete Cholesky factorization","score":0.3390556871891022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31253331899642944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30290132761001587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08701646327972412},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08115926384925842},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.06910407543182373}],"concepts":[{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.9741164445877075},{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.7932345867156982},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7367188930511475},{"id":"https://openalex.org/C46085209","wikidata":"https://www.wikidata.org/wiki/Q17098969","display_name":"Minimum degree algorithm","level":5,"score":0.7136516571044922},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6585835218429565},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5633359551429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420350432395935},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5295915007591248},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5150110721588135},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.44416049122810364},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4421415328979492},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41304218769073486},{"id":"https://openalex.org/C44363057","wikidata":"https://www.wikidata.org/wiki/Q6015160","display_name":"Incomplete Cholesky factorization","level":4,"score":0.3390556871891022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31253331899642944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30290132761001587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08701646327972412},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08115926384925842},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.06910407543182373},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828328","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828328","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2005423095","https://openalex.org/W2028734309","https://openalex.org/W2048134878","https://openalex.org/W2053225713","https://openalex.org/W2121971770","https://openalex.org/W2131225049","https://openalex.org/W2134603844","https://openalex.org/W2586872059","https://openalex.org/W2904192865","https://openalex.org/W3040160274","https://openalex.org/W3082311520","https://openalex.org/W3097201422","https://openalex.org/W3164621419","https://openalex.org/W3198134824","https://openalex.org/W3207320749","https://openalex.org/W4247590281","https://openalex.org/W6678476872"],"related_works":["https://openalex.org/W2039527536","https://openalex.org/W4306891336","https://openalex.org/W2982181895","https://openalex.org/W1966820346","https://openalex.org/W2739115385","https://openalex.org/W2135765421","https://openalex.org/W2074214583","https://openalex.org/W3007862902","https://openalex.org/W1549443054","https://openalex.org/W4300001542"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,11,73],"the":[4,16,24,36,46,55,67,74,103,107,111],"implementation":[5],"of":[6,19,27,35,48,57,110],"matrix":[7,21,38,69,77,93],"decomposition":[8,78,87],"methods":[9],"based":[10,72],"Cholesky":[12,75],"factorization":[13,76],"to":[14,84],"reduce":[15],"computation":[17,50,108],"time":[18,51,109],"pseudoinverse":[20,37,68],"solutions":[22],"in":[23,39,43,70,105],"training":[25,113],"process":[26,114],"extreme":[28],"learning":[29],"machine":[30],"(ELM).":[31],"The":[32,95],"direct":[33],"solution":[34],"ELM":[40,49,71,112],"may":[41],"result":[42],"singularity,":[44],"and":[45,80],"cost":[47],"increases":[52],"significantly":[53],"as":[54],"number":[56],"hidden":[58],"neurons":[59],"grows.":[60],"We":[61],"proposed":[62],"an":[63],"approach":[64,101],"for":[65,92],"computing":[66],"method":[79,91],"compared":[81],"our":[82,100],"model":[83],"singular":[85],"value":[86],"(SVD),":[88],"a":[89],"well-known":[90],"decomposition.":[94],"numerical":[96],"results":[97],"show":[98],"that":[99],"outperforms":[102],"SVD":[104],"reducing":[106],"without":[115],"losing":[116],"its":[117],"generalization":[118],"performance.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
