{"id":"https://openalex.org/W2018532749","doi":"https://doi.org/10.1162/neco_a_00445","title":"Parameter Learning for Alpha Integration","display_name":"Parameter Learning for Alpha Integration","publication_year":2013,"publication_date":"2013-03-21","ids":{"openalex":"https://openalex.org/W2018532749","doi":"https://doi.org/10.1162/neco_a_00445","mag":"2018532749","pmid":"https://pubmed.ncbi.nlm.nih.gov/23517100"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00445","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00445","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5079848178","display_name":"Heeyoul Choi","orcid":"https://orcid.org/0000-0002-0855-8725"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Heeyoul Choi","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Samsung Electronics, Yongin, Gyeonggi 446-712, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Samsung Electronics, Yongin, Gyeonggi 446-712, Republic of Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101795797","display_name":"Seungjin Choi","orcid":"https://orcid.org/0000-0002-8301-3776"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjin Choi","raw_affiliation_strings":["Department of Computer Science and Engineering, IT Convergence Engineering, and Department of Creative IT Excellence Engineering, Pohang University of Science and Technology, Pohang 790-784, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IT Convergence Engineering, and Department of Creative IT Excellence Engineering, Pohang University of Science and Technology, Pohang 790-784, Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011352362","display_name":"Yoonsuck Choe","orcid":"https://orcid.org/0000-0002-1454-4610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoonsuck Choe","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079848178"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.9576,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.74323533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"6","first_page":"1585","last_page":"1604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9948999881744385,"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/divergence","display_name":"Divergence (linguistics)","score":0.6476742029190063},{"id":"https://openalex.org/keywords/numerical-integration","display_name":"Numerical integration","score":0.5514892935752869},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5453483462333679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.524188220500946},{"id":"https://openalex.org/keywords/alpha","display_name":"Alpha (finance)","score":0.46934688091278076},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4683113992214203},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4478963017463684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4154432415962219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4088752269744873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35098469257354736},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18419304490089417},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16041624546051025},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08911776542663574}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6476742029190063},{"id":"https://openalex.org/C127349201","wikidata":"https://www.wikidata.org/wiki/Q753445","display_name":"Numerical integration","level":2,"score":0.5514892935752869},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5453483462333679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.524188220500946},{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.46934688091278076},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4683113992214203},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4478963017463684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4154432415962219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4088752269744873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35098469257354736},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18419304490089417},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16041624546051025},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08911776542663574},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1162/neco_a_00445","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00445","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:23517100","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23517100","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/15480","is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/15480","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W152055444","https://openalex.org/W1530235965","https://openalex.org/W1554663460","https://openalex.org/W1559504519","https://openalex.org/W1573082642","https://openalex.org/W1985172198","https://openalex.org/W1988878611","https://openalex.org/W2013502943","https://openalex.org/W2030524974","https://openalex.org/W2095914067","https://openalex.org/W2097861969","https://openalex.org/W2104803391","https://openalex.org/W2111343997","https://openalex.org/W2116064496","https://openalex.org/W2117079761","https://openalex.org/W2134659151","https://openalex.org/W2135719421","https://openalex.org/W2149497493","https://openalex.org/W2150884987","https://openalex.org/W2158449659","https://openalex.org/W2159080219","https://openalex.org/W2167233135","https://openalex.org/W2406470551","https://openalex.org/W2797148637","https://openalex.org/W2799061466","https://openalex.org/W4239875977","https://openalex.org/W4285719527","https://openalex.org/W4301347335","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W3208095355","https://openalex.org/W2052507016","https://openalex.org/W2180461068","https://openalex.org/W2177370417","https://openalex.org/W2051816080","https://openalex.org/W4254660938","https://openalex.org/W4233243960","https://openalex.org/W1945408838","https://openalex.org/W4310813911","https://openalex.org/W2226133288"],"abstract_inverted_index":{"In":[0,105,119],"pattern":[1],"recognition,":[2],"data":[3,20,134,150],"integration":[4,21,59,71,90],"is":[5],"an":[6,57,83],"important":[7],"issue,":[8],"and":[9,28,82,92,110,131],"when":[10,135],"properly":[11],"done,":[12],"it":[13],"can":[14,22],"lead":[15],"to":[16,25,102],"improved":[17],"performance.":[18],"Also,":[19],"be":[23],"used":[24],"help":[26],"model":[27],"understand":[29],"multimodal":[30],"processing":[31],"in":[32,50,60,114],"the":[33,51,61,65,93,98,152,155],"brain.":[34],"Amari":[35],"proposed":[36,156],"\u03b1-integration":[37],"as":[38,73,146,148],"a":[39,79,124],"principled":[40],"way":[41],"of":[42,53,63,100,154],"blending":[43],"multiple":[44,136],"positive":[45],"measures":[46],"(e.g.,":[47],"stochastic":[48],"models":[49],"form":[52],"probability":[54],"distributions),":[55],"enabling":[56],"optimal":[58],"sense":[62],"minimizing":[64],"\u03b1-divergence.":[66],"It":[67],"also":[68],"encompasses":[69],"existing":[70],"methods":[72],"its":[74],"special":[75],"case,":[76],"for":[77,128],"example,":[78],"weighted":[80],"average":[81],"exponential":[84],"mixture.":[85],"The":[86],"parameter":[87,125],"\u03b1":[88,109,130],"determines":[89],"characteristics,":[91],"weight":[94],"vector":[95],"w":[96,111],"assigns":[97],"degree":[99],"importance":[101],"each":[103],"measure.":[104],"most":[106],"work,":[107],"however,":[108],"are":[112,140],"given":[113],"advance":[115],"rather":[116],"than":[117],"learned.":[118],"this":[120],"letter,":[121],"we":[122],"present":[123],"learning":[126,129],"algorithm":[127],"\u03c9":[132],"from":[133],"integrated":[137],"target":[138],"values":[139],"available.":[141],"Numerical":[142],"experiments":[143],"on":[144],"synthetic":[145],"well":[147],"real-world":[149],"demonstrate":[151],"effectiveness":[153],"method.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
