{"id":"https://openalex.org/W2977597994","doi":"https://doi.org/10.1109/ijcnn.2019.8851714","title":"\u03ba-Entropy Based Restricted Boltzmann Machines","display_name":"\u03ba-Entropy Based Restricted Boltzmann Machines","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977597994","doi":"https://doi.org/10.1109/ijcnn.2019.8851714","mag":"2977597994"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5041190229","display_name":"Leandro A. Passos","orcid":"https://orcid.org/0000-0003-3529-3109"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leandro Aparecido Passos","raw_affiliation_strings":["Department of Computing, UFSCar - Federal University of S\u00e3o Carlos, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, UFSCar - Federal University of S\u00e3o Carlos, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025825161","display_name":"Marcos Cleison Silva Santana","orcid":"https://orcid.org/0000-0003-2568-8019"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Cleison Santana","raw_affiliation_strings":["School of Sciences, UNESP \u2013 S\u00e3o Paulo State University, Bauru, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, UNESP \u2013 S\u00e3o Paulo State University, Bauru, SP, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056671367","display_name":"Thierry Pinheiro Moreira","orcid":"https://orcid.org/0000-0002-3410-6247"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thierry Moreira","raw_affiliation_strings":["School of Sciences, UNESP \u2013 S\u00e3o Paulo State University, Bauru, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, UNESP \u2013 S\u00e3o Paulo State University, Bauru, SP, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003275797","display_name":"Jo\u00e3o Paulo Papa","orcid":"https://orcid.org/0000-0002-6494-7514"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao Paulo Papa","raw_affiliation_strings":["School of Sciences, UNESP \u2013 S\u00e3o Paulo State University, Bauru, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, UNESP \u2013 S\u00e3o Paulo State University, Bauru, SP, Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041190229"],"corresponding_institution_ids":["https://openalex.org/I177909021"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54270426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.7570412158966064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008458375930786},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6134575009346008},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5974296927452087},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5849395394325256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5668783187866211},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5447571873664856},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5425397157669067},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5183423757553101},{"id":"https://openalex.org/keywords/boltzmann-constant","display_name":"Boltzmann constant","score":0.4978978633880615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46655601263046265}],"concepts":[{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.7570412158966064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008458375930786},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6134575009346008},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5974296927452087},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5849395394325256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5668783187866211},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5447571873664856},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5425397157669067},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5183423757553101},{"id":"https://openalex.org/C35304006","wikidata":"https://www.wikidata.org/wiki/Q5962","display_name":"Boltzmann constant","level":2,"score":0.4978978633880615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46655601263046265},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W1564500292","https://openalex.org/W1668655171","https://openalex.org/W1745681373","https://openalex.org/W1813659000","https://openalex.org/W1936687626","https://openalex.org/W1963539112","https://openalex.org/W1965159161","https://openalex.org/W1970412632","https://openalex.org/W1974618110","https://openalex.org/W1983874169","https://openalex.org/W1995875735","https://openalex.org/W2016258134","https://openalex.org/W2018168021","https://openalex.org/W2059242423","https://openalex.org/W2065170535","https://openalex.org/W2067613379","https://openalex.org/W2079584573","https://openalex.org/W2081026705","https://openalex.org/W2083380015","https://openalex.org/W2089852843","https://openalex.org/W2105577021","https://openalex.org/W2106654982","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2132504853","https://openalex.org/W2136922672","https://openalex.org/W2164587673","https://openalex.org/W2171309390","https://openalex.org/W2314159797","https://openalex.org/W2342442432","https://openalex.org/W2346416937","https://openalex.org/W2399462240","https://openalex.org/W2402196265","https://openalex.org/W2621259784","https://openalex.org/W2725236716","https://openalex.org/W2736443450","https://openalex.org/W2740526244","https://openalex.org/W2744305830","https://openalex.org/W2746163980","https://openalex.org/W2767871903","https://openalex.org/W2770292949","https://openalex.org/W2795112021","https://openalex.org/W2887997908","https://openalex.org/W2898936434","https://openalex.org/W2909562824","https://openalex.org/W2913932916","https://openalex.org/W2914208564","https://openalex.org/W2964179799","https://openalex.org/W3148089400","https://openalex.org/W4252684946","https://openalex.org/W4312504837","https://openalex.org/W6606244218","https://openalex.org/W6607775107","https://openalex.org/W6638304892","https://openalex.org/W6640853127","https://openalex.org/W6675770872","https://openalex.org/W6703949327","https://openalex.org/W7062497423"],"related_works":["https://openalex.org/W2119341610","https://openalex.org/W2193475944","https://openalex.org/W2028660548","https://openalex.org/W2916681395","https://openalex.org/W1641020902","https://openalex.org/W2529583158","https://openalex.org/W2179571827","https://openalex.org/W2002649600","https://openalex.org/W2007906783","https://openalex.org/W4247163284"],"abstract_inverted_index":{"Restricted":[0],"Boltzmann":[1,43],"Machines":[2],"achieved":[3],"notorious":[4],"popularity":[5],"in":[6,10,18,75,90],"the":[7,11,28,52,71,76,79,96,99,115,125],"scientific":[8],"community":[9],"last":[12],"decade":[13],"due":[14],"to":[15,31,51,94,113,120],"outstanding":[16],"results":[17,103],"a":[19,64,107],"wide":[20],"range":[21],"of":[22,67,78,98,109],"applications":[23],"and":[24,41],"also":[25],"for":[26],"providing":[27],"required":[29],"mechanisms":[30],"build":[32],"successful":[33],"deep":[34],"learning":[35,53,81],"models,":[36],"i.e.,":[37],"Deep":[38,42],"Belief":[39],"Networks":[40],"Machines.":[44],"However,":[45],"their":[46],"main":[47],"bottleneck":[48],"is":[49,56,111],"related":[50],"step,":[54],"which":[55],"usually":[57],"time-consuming.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"introduce":[63],"Sigmoid-like":[65],"family":[66,108],"functions":[68,110,122],"based":[69],"on":[70],"Kaniadakis":[72],"entropy":[73],"formulation":[74],"context":[77],"RBM":[80],"procedure.":[82],"Experiments":[83],"concerning":[84],"binary":[85],"image":[86],"reconstruction":[87],"are":[88],"conducted":[89],"four":[91],"public":[92],"datasets":[93],"evaluate":[95],"robustness":[97],"proposed":[100],"approach.":[101],"The":[102],"suggest":[104],"that":[105],"such":[106],"suitable":[112],"increase":[114],"convergence":[116],"rate":[117],"when":[118],"compared":[119],"standard":[121],"employed":[123],"by":[124],"research":[126],"community.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
