{"id":"https://openalex.org/W2019221340","doi":"https://doi.org/10.1080/09528139208953751","title":"A probabilistic perceptron learning algorithm","display_name":"A probabilistic perceptron learning algorithm","publication_year":1992,"publication_date":"1992-10-01","ids":{"openalex":"https://openalex.org/W2019221340","doi":"https://doi.org/10.1080/09528139208953751","mag":"2019221340"},"language":"en","primary_location":{"id":"doi:10.1080/09528139208953751","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528139208953751","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-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/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"TZUNG-PEI HONG","raw_affiliation_strings":["Institute of Computer Science and Information Engineering, National Chiao-Tung University , Hsin-Chu, Taiwan, 30050, Republic of China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Information Engineering, National Chiao-Tung University , Hsin-Chu, Taiwan, 30050, Republic of China","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108465870","display_name":"Shian\u2010Shyong Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"SHIAN-SHYONG TSENG","raw_affiliation_strings":["Institute of Computer and Information Science, National Chiao-Tung University , Hsin-Chu, Taiwan, 30050, Republic of China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer and Information Science, National Chiao-Tung University , Hsin-Chu, Taiwan, 30050, Republic of China","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057105630"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12874966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"4","first_page":"265","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.982200026512146,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.873759388923645},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7210105657577515},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6727538108825684},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6176596879959106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703318119049072},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5503361821174622},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.5351850390434265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5050302147865295},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5011985301971436},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.4601950943470001},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.25733745098114014},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2421935498714447},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.15216195583343506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.873759388923645},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7210105657577515},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6727538108825684},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6176596879959106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703318119049072},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5503361821174622},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.5351850390434265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5050302147865295},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5011985301971436},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.4601950943470001},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.25733745098114014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2421935498714447},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.15216195583343506}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09528139208953751","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528139208953751","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W120632345","https://openalex.org/W308556676","https://openalex.org/W1572401739","https://openalex.org/W1987641308","https://openalex.org/W2008353316","https://openalex.org/W2020647649","https://openalex.org/W2036317711","https://openalex.org/W2065758324","https://openalex.org/W2101927907","https://openalex.org/W2118508987","https://openalex.org/W2131414503","https://openalex.org/W2985382943","https://openalex.org/W3207342693","https://openalex.org/W4210936726","https://openalex.org/W4212808548","https://openalex.org/W4233045210","https://openalex.org/W4300402905","https://openalex.org/W4312982345"],"related_works":["https://openalex.org/W830096938","https://openalex.org/W2109606716","https://openalex.org/W2030292806","https://openalex.org/W2076543106","https://openalex.org/W2189202191","https://openalex.org/W2177346860","https://openalex.org/W1603360336","https://openalex.org/W1903582155","https://openalex.org/W2494523064","https://openalex.org/W2145856894"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"probabilistic":[2,50],"perceptron":[3,51],"learning":[4,31,52],"algorithm":[5,19,53],"has":[6,55],"been":[7],"proposed":[8,18,49],"here":[9],"to":[10],"reduce":[11],"the":[12,27,33,60],"computation":[13],"time":[14,28,64],"of":[15,30,35,62],"learning.":[16],"The":[17],"is":[20,65],"easily":[21],"programmed":[22],"and":[23],"can":[24],"drastically":[25],"decrease":[26],"complexity":[29],"at":[32],"expense":[34],"only":[36],"a":[37],"little":[38],"accuracy.":[39],"Experimental":[40],"results":[41],"also":[42],"show":[43],"this":[44],"trade-off":[45],"being":[46],"worthwhile.":[47],"Our":[48],"thus":[54],"practical":[56],"use,":[57],"especially":[58],"when":[59],"requirement":[61],"computational":[63],"critical.":[66]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
