{"id":"https://openalex.org/W2497450929","doi":"https://doi.org/10.1109/tnnls.2016.2623219","title":"Forward Stagewise Additive Model for Collaborative Multiview Boosting","display_name":"Forward Stagewise Additive Model for Collaborative Multiview Boosting","publication_year":2016,"publication_date":"2016-12-08","ids":{"openalex":"https://openalex.org/W2497450929","doi":"https://doi.org/10.1109/tnnls.2016.2623219","mag":"2497450929","pmid":"https://pubmed.ncbi.nlm.nih.gov/27959822"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2623219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2623219","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1608.01874","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082039339","display_name":"Avisek Lahiri","orcid":"https://orcid.org/0000-0002-9783-4073"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avisek Lahiri","raw_affiliation_strings":["Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India","[Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India]"],"raw_orcid":"https://orcid.org/0000-0002-9783-4073","affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India]","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070145410","display_name":"Biswajit Paria","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biswajit Paria","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology at Kharagpur, West Bengal, India","[Department of Computer Science and Engineering, Indian Institute of Technology at Kharagpur, West Bengal, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology at Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, Indian Institute of Technology at Kharagpur, West Bengal, India]","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004059019","display_name":"Prabir Kumar Biswas","orcid":"https://orcid.org/0000-0002-8922-1306"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabir Kumar Biswas","raw_affiliation_strings":["Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India","[Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Department of Electronics and Electrical Communication, Indian Institute of Technology at Kharagpur, West Bengal, India]","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.5551,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83993424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"2","first_page":"470","last_page":"485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9930999875068665,"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/boosting","display_name":"Boosting (machine learning)","score":0.930256724357605},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7401556372642517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6220829486846924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5778515338897705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5671250820159912},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5255122184753418},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.47411683201789856},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.44665804505348206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39988672733306885},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35409730672836304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31736528873443604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12218889594078064}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.930256724357605},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7401556372642517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220829486846924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5778515338897705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5671250820159912},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5255122184753418},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.47411683201789856},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.44665804505348206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39988672733306885},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35409730672836304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31736528873443604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12218889594078064},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tnnls.2016.2623219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2623219","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:27959822","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27959822","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":"IEEE transactions on neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1608.01874","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.01874","pdf_url":"https://arxiv.org/pdf/1608.01874","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2497450929","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1608.01874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1608.01874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1608.01874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1608.01874","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.01874","pdf_url":"https://arxiv.org/pdf/1608.01874","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2497450929.pdf","grobid_xml":"https://content.openalex.org/works/W2497450929.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W115417595","https://openalex.org/W1473009882","https://openalex.org/W1562197959","https://openalex.org/W1608733719","https://openalex.org/W1642806187","https://openalex.org/W1644156568","https://openalex.org/W1725492276","https://openalex.org/W1968969471","https://openalex.org/W1975846642","https://openalex.org/W1983056421","https://openalex.org/W1988790447","https://openalex.org/W2010802280","https://openalex.org/W2012568697","https://openalex.org/W2019728401","https://openalex.org/W2024046085","https://openalex.org/W2029854193","https://openalex.org/W2046862341","https://openalex.org/W2048679005","https://openalex.org/W2053101950","https://openalex.org/W2057778513","https://openalex.org/W2068955495","https://openalex.org/W2080021732","https://openalex.org/W2083040376","https://openalex.org/W2088883866","https://openalex.org/W2115777736","https://openalex.org/W2118181058","https://openalex.org/W2126514932","https://openalex.org/W2137570937","https://openalex.org/W2140337774","https://openalex.org/W2145234365","https://openalex.org/W2150757437","https://openalex.org/W2154615742","https://openalex.org/W2164507085","https://openalex.org/W2164921999","https://openalex.org/W2329838488","https://openalex.org/W2394955051","https://openalex.org/W4244895750","https://openalex.org/W4244952642","https://openalex.org/W4253712714","https://openalex.org/W6628321692","https://openalex.org/W6633883679","https://openalex.org/W6680860065","https://openalex.org/W6681427677","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1974586862","https://openalex.org/W2133047000","https://openalex.org/W240998772","https://openalex.org/W2962887459","https://openalex.org/W2096682623","https://openalex.org/W2579597427","https://openalex.org/W2962929498","https://openalex.org/W3035761274","https://openalex.org/W2900677334","https://openalex.org/W3037841817","https://openalex.org/W3027506993","https://openalex.org/W2951366363","https://openalex.org/W2963094258","https://openalex.org/W2750881831","https://openalex.org/W2947843732","https://openalex.org/W2226706697","https://openalex.org/W2907934539","https://openalex.org/W189527201","https://openalex.org/W2964218708","https://openalex.org/W3173461089"],"abstract_inverted_index":{"Multiview":[0],"assisted":[1],"learning":[2,12,20,66,223],"has":[3],"gained":[4],"significant":[5],"attention":[6],"in":[7,10,188],"recent":[8,246],"years":[9],"supervised":[11],"genre.":[13],"Availability":[14],"of":[15,43,60,80,135,141,173,207,253,262,282],"high-performance":[16],"computing":[17],"devices":[18],"enables":[19,95],"algorithms":[21,63,82,215],"to":[22,31,85,181,185,287],"search":[23],"simultaneously":[24,270],"over":[25],"multiple":[26],"views":[27],"or":[28,88],"feature":[29],"spaces":[30,102],"obtain":[32],"an":[33],"optimum":[34],"classification":[35],"performance.":[36,274],"This":[37,199],"paper":[38,200],"is":[39,109,161,179,240],"a":[40,45,50,112,119,136,150,259],"pioneering":[41],"attempt":[42,166],"formulating":[44],"mathematical":[46,72,93,174],"foundation":[47],"for":[48,56,103,212],"realizing":[49],"multiview":[51,65,213,247],"aided":[52],"collaborative":[53,96,168],"boosting":[54,97,107,214,244,248,285],"architecture":[55],"multiclass":[57,104],"classification.":[58],"Most":[59],"the":[61,70,81,127,133,142,189,237,251,255,280,283],"present":[62],"apply":[64],"heuristically":[67],"without":[68],"exploring":[69],"fundamental":[71],"changes":[73],"imposed":[74],"on":[75,111,167,264],"traditional":[76,143,243],"boosting.":[77],"Also,":[78,236],"most":[79],"are":[83],"restricted":[84],"two":[86],"class":[87],"view":[89,101,152],"setting.":[90],"Our":[91],"proposed":[92,177,221,238,284],"framework":[94,108,286],"across":[98],"any":[99],"finite-dimensional":[100],"learning.":[105],"The":[106,146,159,176,275],"based":[110],"forward":[113],"stagewise":[114],"additive":[115],"model,":[116],"which":[117,170],"minimizes":[118],"novel":[120],"exponential":[121,128,190],"loss":[122,129,191],"function.":[123],"We":[124],"show":[125,218],"that":[126,219],"function":[130],"essentially":[131],"captures":[132],"difficulty":[134],"training":[137,265],"sample":[138],"space":[139,192],"instead":[140],"\"1/0\"":[144],"loss.":[145],"new":[147,256],"algorithm":[148,178,257],"restricts":[149],"weak":[151],"from":[153],"overlearning":[154],"and":[155,193,204,209,216,228,245,268],"thereby":[156],"preventing":[157],"overfitting.":[158],"model":[160,239],"inspired":[162],"by":[163],"our":[164,196,220,233],"earlier":[165],"boosting,":[169],"was":[171],"devoid":[172],"justification.":[175],"shown":[180],"converge":[182],"much":[183],"nearer":[184],"global":[186],"minimum":[187],"thus":[194],"supersedes":[195],"previous":[197,234],"algorithm.":[198],"also":[201,269],"presents":[202],"analytical":[203],"numerical":[205],"analyses":[206],"convergence":[208,263],"margin":[210,230],"bounds":[211],"we":[217],"ensemble":[222],"manifests":[224,258],"lower":[225],"error":[226,267],"bound":[227],"higher":[229],"compared":[231,241],"with":[232,242],"model.":[235],"algorithms.":[249],"In":[250],"majority":[252],"instances,":[254],"faster":[260],"rate":[261],"set":[266],"offers":[271],"better":[272],"generalization":[273],"kappa-error":[276],"diagram":[277],"analysis":[278],"reveals":[279],"robustness":[281],"labeling":[288],"noise.":[289]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}