{"id":"https://openalex.org/W2603436768","doi":null,"title":"On Kernel-base Multi-Task Learning","display_name":"On Kernel-base Multi-Task Learning","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2603436768","mag":"2603436768"},"language":"en","primary_location":{"id":"pmh:oai:stars.library.ucf.edu:etd-5770","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/etd/4770","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/etd/4770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100331560","display_name":"Cong Li","orcid":"https://orcid.org/0000-0001-9381-3286","observed_orcids":["https://orcid.org/0000-0001-9381-3286","https://orcid.org/0009-0001-3729-4642","https://orcid.org/0009-0003-0972-2819"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cong Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9381-3286","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100331560"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.44290000200271606,"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":0.44290000200271606,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.4390000104904175,"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/T12676","display_name":"Machine Learning and ELM","score":0.02290000021457672,"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/multi-task-learning","display_name":"multi-task learning","score":0.9919999837875366},{"id":"https://openalex.org/keywords/generalization-bounds","display_name":"generalization bounds","score":0.8539999723434448},{"id":"https://openalex.org/keywords/hypothesis-space","display_name":"hypothesis space","score":0.7549999952316284},{"id":"https://openalex.org/keywords/information-sharing","display_name":"information sharing","score":0.44999998807907104},{"id":"https://openalex.org/keywords/sparse-feature-representation","display_name":"sparse feature representation","score":0.6129999756813049},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.32100000977516174},{"id":"https://openalex.org/keywords/generalization-performance","display_name":"generalization performance","score":0.593999981880188}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5433973670005798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5379344820976257},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5038101077079773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4449809193611145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29463040828704834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15660908818244934},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:stars.library.ucf.edu:etd-5770","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/etd/4770","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},{"id":"mag:2603436768","doi":null,"is_oa":false,"landing_page_url":"https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=5770&context=etd","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:etd-5770","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/etd/4770","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1614862348","https://openalex.org/W1984541063","https://openalex.org/W1986744686","https://openalex.org/W2018096278","https://openalex.org/W2032612424","https://openalex.org/W2034295546","https://openalex.org/W2102630986","https://openalex.org/W2108873311","https://openalex.org/W2113642685","https://openalex.org/W2119595900","https://openalex.org/W2130903752","https://openalex.org/W2133491790","https://openalex.org/W2135562430","https://openalex.org/W2135588188","https://openalex.org/W2143104527","https://openalex.org/W2144752499","https://openalex.org/W2144807460","https://openalex.org/W2153635508","https://openalex.org/W2162888803","https://openalex.org/W2165644552","https://openalex.org/W2579923771","https://openalex.org/W2913340405","https://openalex.org/W3120740533","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2736208942","https://openalex.org/W4390705217","https://openalex.org/W1812752171","https://openalex.org/W2122383747","https://openalex.org/W2578519904","https://openalex.org/W2951062332","https://openalex.org/W7171974519","https://openalex.org/W2968475085","https://openalex.org/W2338626556","https://openalex.org/W2621907632"],"abstract_inverted_index":{"Multi-Task":[0,257],"Learning":[1,260],"(MTL)":[2],"has":[3,51,125],"been":[4,52,126,204],"an":[5],"active":[6],"research":[7,50,102,266],"area":[8],"in":[9,62,82,91,106,128,240,447],"machine":[10],"learning":[11],"for":[12,146,206,282,288,354,362,403],"two":[13,129,319],"decades.":[14],"By":[15,310],"training":[16,39,404],"multiple":[17,247],"relevant":[18,185],"tasks":[19,117],"simultaneously":[20],"with":[21],"information":[22,67],"shared":[23],"across":[24],"tasks,":[25],"it":[26,72],"is":[27,150,252,306,351,392,416,452],"possible":[28],"to":[29,38,59,74,108,165,180,198,211,224,298,329,337,394,418],"improve":[30],"the":[31,45,55,70,138,148,162,184,190,194,215,269,314,378,396,420,423,429,442],"generalization":[32,104,191,315,332,340],"performance":[33,192],"of":[34,66,97,115,137,176,183,193,214,218,275,317,348,377,414,422,434,444,449],"each":[35,40,295,355],"task,":[36],"compared":[37],"individual":[41],"task":[42,163,239,296],"independently.":[43],"During":[44],"past":[46],"decade,":[47],"most":[48,376],"MTL":[49,109,144,196,208],"based":[53],"on":[54,103,343],"Regularization-Loss":[56],"framework":[57,373],"due":[58,210],"its":[60,80],"flexibility":[61,327],"specifying":[63],"various":[64,201],"types":[65],"sharing":[68],"strategies,":[69],"opportunity":[71],"offers":[73],"yield":[75],"a":[76,121,222,237,273,302,326,346,365,370,388],"kernel-based":[77,143,207,277],"methods":[78],"and":[79,94,226,242,285,312,359,437,441],"capability":[81],"promoting":[83],"sparse":[84],"feature":[85],"representations.":[86],"However,":[87],"certain":[88],"limitations":[89],"exist":[90],"both":[92],"theoretical":[93],"practical":[95,366],"aspects":[96],"Regularization-Loss-based":[98],"MTL.":[99],"Theoretically,":[100,272],"previous":[101,133,155,291],"bounds":[105,316],"connection":[107],"Hypothesis":[110],"Space":[111],"(HS)s,":[112],"where":[113],"data":[114],"all":[116,132,154,161,405],"are":[118,172,221,249,263,279,439],"pre-processed":[119],"by":[120,409,428],"(partially)":[122],"common":[123],"operator,":[124,139],"limited":[127],"aspects:":[130],"First,":[131],"works":[134],"assumed":[135,159],"linearity":[136],"therefore":[140],"completely":[141],"excluding":[142],"HSs,":[145,186,320],"which":[147,187,334,398],"operator":[149],"potentially":[151],"non-linear.":[152],"Secondly,":[153],"works,":[156,292],"rather":[157],"unnecessarily,":[158],"that":[160,233,374],"weights":[164],"be":[166,299,401],"constrained":[167,300],"within":[168,301],"norm-balls,":[169],"whose":[170,304],"radii":[171,178],"equal.":[173],"The":[174],"requirement":[175],"equal":[177],"leads":[179,328],"significant":[181],"inflexibility":[182],"may":[188,235],"cause":[189],"corresponding":[195],"models":[197,248,262,350,407],"deteriorate.":[199],"Practically,":[200],"algorithms":[202,220],"have":[203],"developed":[205,393],"models,":[209],"different":[212],"characteristics":[213],"formulations.":[216],"Most":[217],"these":[219,318,455],"burden":[223],"develop":[225],"end":[227],"up":[228],"being":[229],"quite":[230],"sophisticated,":[231],"so":[232],"practitioners":[234],"face":[236],"hard":[238],"interpreting":[241],"implementing":[243],"them,":[244],"especially":[245],"when":[246,256,426],"involved.":[250],"This":[251,265],"even":[253],"more":[254],"so,":[255],"Multiple":[258],"Kernel":[259],"(MT-MKL)":[261],"considered.":[264],"largely":[267],"resolves":[268],"above":[270],"limitations.":[271],"pair":[274,347],"new":[276,349,384,430],"HSs":[278,436],"proposed:":[280],"one":[281,287,353,361],"single-kernel":[283,357],"MTL,":[284,358],"another":[286,360],"MT-MKL.":[289,363],"Unlike":[290],"we":[293,321,368],"allow":[294],"weight":[297],"norm-ball,":[303],"radius":[305],"learned":[307],"during":[308],"training.":[309],"deriving":[311],"analyzing":[313],"show":[322],"that,":[323],"indeed,":[324],"such":[325],"much":[330],"tighter":[331],"bounds,":[333],"often":[335],"results":[336],"significantly":[338],"better":[339],"performance.":[341],"Based":[342],"this":[344,410],"observation,":[345],"developed,":[352],"case:":[356],"From":[364],"perspective,":[367],"propose":[369],"general":[371,389],"MT-MKL":[372,380,385],"covers":[375],"prominent":[379],"approaches,":[381],"including":[382],"our":[383,435,445],"formulation.":[386],"Then,":[387],"purpose":[390],"algorithm":[391],"solve":[395],"framework,":[397],"can":[399],"also":[400],"employed":[402],"other":[406],"subsumed":[408],"framework.":[411],"A":[412],"series":[413],"experiments":[415],"conducted":[417],"assess":[419],"merits":[421],"proposed":[424],"mode":[425],"trained":[427],"algorithm.":[431],"Certain":[432],"properties":[433],"formulations":[438],"demonstrated,":[440],"advantage":[443],"model":[446],"terms":[448],"classification":[450],"accuracy":[451],"shown":[453],"via":[454],"experiments.":[456]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-04-07T00:00:00"}