{"id":"https://openalex.org/W2588676090","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853048","title":"Control of the error signals by self-awareness in committee machines","display_name":"Control of the error signals by self-awareness in committee machines","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588676090","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853048","mag":"2588676090"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7853048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5103166030","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-6839-4769"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yong Liu","raw_affiliation_strings":["School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103166030"],"corresponding_institution_ids":["https://openalex.org/I141591182"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91158063,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"29","issue":null,"first_page":"2005","last_page":"2008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9947999715805054,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9947999715805054,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"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":0.7506364583969116},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5906309485435486},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5632864832878113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49397212266921997},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4619290232658386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4412732422351837},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4267967939376831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11779928207397461},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.07273030281066895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506364583969116},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5906309485435486},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5632864832878113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49397212266921997},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4619290232658386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4412732422351837},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4267967939376831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11779928207397461},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.07273030281066895},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7853048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1503764529","https://openalex.org/W1529571053","https://openalex.org/W2028356486","https://openalex.org/W2076118331","https://openalex.org/W2076247985","https://openalex.org/W2099454382","https://openalex.org/W2116374865","https://openalex.org/W2123003172","https://openalex.org/W2547046937","https://openalex.org/W6677198838"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W2364238915","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W2096492911","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W2562018983","https://openalex.org/W2050740970"],"abstract_inverted_index":{"It":[0,45],"is":[1,80,156],"certain":[2],"that":[3],"the":[4,21,28,35,42,67,85,89,97,111,117,125,139,146,159,163,168],"individual":[5,29,51,86,103,164],"learners":[6,30,87,165],"should":[7],"be":[8,47,54,62,92],"different":[9,63],"from":[10,124],"each":[11,50,71],"other":[12,68],"in":[13,88,167],"order":[14],"for":[15,34,49],"a":[16,129],"committee":[17,36,90,169],"machine":[18,37,91],"to":[19,38,53,56,59,61,66,76,107,110,151,157],"reach":[20],"better":[22],"performance.":[23],"However,":[24],"differences":[25],"alone":[26],"among":[27],"are":[31],"not":[32,65],"enough":[33],"predict":[39],"well":[40],"on":[41,70,128,145],"unknown":[43],"data.":[44,131],"would":[46],"essential":[48],"learner":[52,104],"able":[55],"decide":[57],"whether":[58],"learn":[60],"or":[64,120],"individuals":[69],"given":[72,130],"example.":[73],"One":[74],"way":[75],"implement":[77],"such":[78],"decision":[79],"through":[81],"self-awareness.":[82],"Self-awareness":[83],"makes":[84],"even":[93],"more":[94],"flexible":[95],"during":[96],"learning":[98,137],"process.":[99],"With":[100],"self-awareness,":[101],"an":[102],"could":[105],"choose":[106],"go":[108],"slower":[109],"correct":[112,126],"output":[113,127],"by":[114,162],"scaling":[115],"down":[116],"error":[118,141,160],"signals,":[119],"leave":[121],"away":[122],"faster":[123],"In":[132],"this":[133],"paper,":[134],"negative":[135],"correlation":[136],"with":[138],"scaled":[140],"signals":[142,161],"were":[143],"tested":[144],"two":[147],"medical":[148],"data":[149],"sets":[150],"show":[152],"how":[153],"important":[154],"it":[155],"adjust":[158],"themselves":[166],"machines.":[170]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
