{"id":"https://openalex.org/W2997741782","doi":"https://doi.org/10.5555/1953048.2021033","title":"lp-Norm Multiple Kernel Learning","display_name":"lp-Norm Multiple Kernel Learning","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2997741782","doi":"https://doi.org/10.5555/1953048.2021033","mag":"2997741782"},"language":"en","primary_location":{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:101486","doi":null,"is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/101486/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Artikel"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5006283955","display_name":"KloftMarius","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KloftMarius","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035828655","display_name":"BrefeldUlf","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"BrefeldUlf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073750613","display_name":"SonnenburgS\u00f6ren","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SonnenburgS\u00f6ren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015125106","display_name":"ZienAlexander","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ZienAlexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.238,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.56234152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.28049999475479126,"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":0.28049999475479126,"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":0.274399995803833,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.1137000024318695,"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/multiple-kernel-learning","display_name":"multiple kernel learning","score":1.0},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.4339999854564667}],"concepts":[{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6113919019699097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5258054137229919},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.47176340222358704},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46313101053237915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4060298204421997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3994050621986389},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.28070515394210815},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.22087141871452332},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15958073735237122},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1266874372959137},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0652194619178772}],"mesh":[],"locations_count":6,"locations":[{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:101486","doi":null,"is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/101486/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Artikel"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.415.9905","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.9905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jmlr.org/papers/volume12/kloft11a/kloft11a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.422.5107","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.422.5107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eprints.pascal-network.org/archive/00008086/01/lpMKL.pdf","raw_type":"text"},{"id":"pmh:oai:fraunhofer.de:N-163242","doi":null,"is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-163242.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer FIRST","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/224832","doi":null,"is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/224832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"},{"id":"mag:2997741782","doi":"https://doi.org/10.5555/1953048.2021033","is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=2021033","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7099978344","https://openalex.org/W7095559679","https://openalex.org/W1985786749","https://openalex.org/W7099348616","https://openalex.org/W1589178604","https://openalex.org/W7099239007","https://openalex.org/W7067736633","https://openalex.org/W2129927619","https://openalex.org/W7110525974","https://openalex.org/W7100998398"],"abstract_inverted_index":{"Learning":[0],"linear":[1],"combinations":[2,28],"of":[3,14,121,133,162],"multiple":[4,21],"kernels":[5],"is":[6,16,37,91],"an":[7,110],"appealing":[8],"strategy":[9],"when":[10],"the":[11,67,95,119,151,159,163],"right":[12],"choice":[13],"features":[15],"unknown.":[17],"Previous":[18],"approaches":[19],"to":[20,29,40,59,136,157],"kernel":[22,27,51],"learning":[23],"(MKL)":[24],"promote":[25],"sparse":[26],"support":[30],"interpretability":[31],"and":[32,74,109,124,165],"scalability.":[33],"Unfortunately,":[34],"this\u21131-norm":[35],"MKL":[36,58,72,126,135,146],"rarely":[38],"observed":[39],"outperform":[41],"trivial":[42],"baselines":[43],"in":[44,127],"practical":[45],"applications.":[46],"To":[47],"allow":[48],"for":[49,81],"robust":[50],"mixtures":[52],"that":[53,84,144,149],"generalize":[54],"well,":[55],"we":[56],"extend":[57],"arbitrary":[60,82],"norms.":[61],"We":[62],"devise":[63],"new":[64],"insights":[65],"on":[66,102,112,118],"connection":[68],"between":[69],"several":[70,103],"existing":[71],"formulations":[73],"develop":[75],"two":[76],"efficient":[77],"interleaved":[78,89],"optimization":[79,90],"strategies":[80],"norms,":[83],"is\u2113p-norms":[85],"with":[86],"p\u22651.":[87],"This":[88],"much":[92],"faster":[93],"than":[94],"commonly":[96],"used":[97],"wrapper":[98],"approaches,":[99],"as":[100],"demonstrated":[101],"data":[104,115],"sets.":[105],"A":[106],"theoretical":[107],"analysis":[108],"experiment":[111],"controlled":[113],"artificial":[114],"shed":[116],"light":[117],"appropriateness":[120],"sparse,":[122],"non-sparse":[123,145],"\u2113\u221e-norm":[125],"various":[128],"scenarios.":[129],"Importantly,":[130],"empirical":[131],"applications":[132],"\u2113p-norm":[134],"three":[137],"real-world":[138],"problems":[139],"from":[140],"computational":[141],"biology":[142],"show":[143],"achieves":[147],"accuracies":[148],"surpass":[150],"state-of-the-art.":[152],"Data":[153],"sets,":[154],"source":[155],"code":[156],"reproduce":[158],"experiments,":[160],"implementations":[161],"algorithms,":[164]},"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":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2020-01-10T00:00:00"}
