{"id":"https://openalex.org/W4410491681","doi":"https://doi.org/10.1109/access.2025.3571404","title":"Alpha-Backpropagation Algorithm: Probability Estimation for One-Hot and Quasi-One-Hot Teachers","display_name":"Alpha-Backpropagation Algorithm: Probability Estimation for One-Hot and Quasi-One-Hot Teachers","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410491681","doi":"https://doi.org/10.1109/access.2025.3571404"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3571404","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3571404","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3571404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004156746","display_name":"Yasuo Matsuyama","orcid":"https://orcid.org/0000-0002-0819-9240"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yasuo Matsuyama","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004156746"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05478366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"87712","last_page":"87729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9990000128746033,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9990000128746033,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9977999925613403,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962999820709229,"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/backpropagation","display_name":"Backpropagation","score":0.8070289492607117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912155508995056},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5576860308647156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5478373765945435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33569425344467163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32380470633506775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32260143756866455}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.8070289492607117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912155508995056},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5576860308647156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5478373765945435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33569425344467163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32380470633506775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32260143756866455},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3571404","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3571404","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d39b3b4c5eec43b689e4262e772c2074","is_oa":true,"landing_page_url":"https://doaj.org/article/d39b3b4c5eec43b689e4262e772c2074","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 87712-87729 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3571404","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3571404","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W152055444","https://openalex.org/W1498436455","https://openalex.org/W1965555277","https://openalex.org/W1995875735","https://openalex.org/W2033468335","https://openalex.org/W2056985397","https://openalex.org/W2076011998","https://openalex.org/W2125133553","https://openalex.org/W2159139259","https://openalex.org/W2183341477","https://openalex.org/W2260194779","https://openalex.org/W2606601581","https://openalex.org/W3014099862","https://openalex.org/W3035139526","https://openalex.org/W3126663807","https://openalex.org/W4213201159","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6692899594","https://openalex.org/W6717434760","https://openalex.org/W6779487094"],"related_works":["https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W2051487156","https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2098962763","https://openalex.org/W4408809375","https://openalex.org/W2371065793","https://openalex.org/W2157746493"],"abstract_inverted_index":{"This":[0,13,25,136],"study":[1],"proposes":[2],"theories":[3],"and":[4,52,98,166],"applications":[5],"of":[6,96,121,131],"probabilistic":[7],"divergences":[8],"to":[9,21,85,106],"neural":[10,115,148],"network":[11],"training.":[12],"theory":[14],"generalizes":[15],"the":[16,22,29,40,43,50,94,119,151],"cross-entropy":[17,30],"method":[18,27,31,153],"for":[19,73,157,164],"backpropagation":[20],"alpha-divergence":[23,152],"method.":[24],"new":[26,88,125],"includes":[28],"as":[32],"a":[33,59,70,147],"limited":[34],"case":[35],"study.":[36],"An":[37],"advantage":[38],"is":[39,49,83],"speedup":[41],"during":[42],"training":[44],"phase.":[45],"The":[46,87,124],"target":[47],"architecture":[48],"one-hot":[51,97],"quasi-one-hot":[53,99],"teacher":[54,60,100],"cases.":[55],"Quasi-one-hotness":[56],"occurs":[57],"when":[58],"intentionally":[61],"weakens":[62],"its":[63],"one-hotness":[64],"moderately.":[65],"In":[66],"addition,":[67],"we":[68,117],"devise":[69],"reverse":[71],"process":[72,82],"quasi-one-hotness,":[74],"that":[75],"is,":[76],"quenching.":[77],"For":[78],"non-one-hot":[79],"elements,":[80],"this":[81],"equivalent":[84],"annealing.":[86],"methods":[89,126],"automatically":[90],"weigh":[91],"backpropagation,":[92],"reflecting":[93],"nature":[95],"data.":[101],"These":[102],"strategies":[103],"are":[104],"applicable":[105],"versatile":[107,159],"generative":[108],"artificial":[109],"intelligence":[110],"(AI)":[111],"tools.":[112],"Using":[113],"generic":[114],"networks,":[116],"investigated":[118],"degree":[120],"learning":[122],"speedup.":[123],"present":[127],"remarkable":[128],"speedups,":[129],"illustrations":[130],"which":[132],"require":[133],"logarithmic":[134],"scales.":[135],"property":[137],"also":[138],"allows":[139],"more":[140],"elaborate":[141],"conditional":[142],"probability":[143],"estimations":[144],"by":[145],"partitioning":[146],"network.":[149],"Thus,":[150],"has":[154],"become":[155],"meritorious":[156],"accelerating":[158],"edge":[160],"AI":[161],"developments,":[162],"particularly":[163],"low-cost":[165],"low-power":[167],"fine-tuning.":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}