{"id":"https://openalex.org/W4391020258","doi":"https://doi.org/10.1109/cdc49753.2023.10383484","title":"An ADMM Solver for the $\\mathbf{MKL} -L_{0/1}-\\mathbf{SVM}$","display_name":"An ADMM Solver for the $\\mathbf{MKL} -L_{0/1}-\\mathbf{SVM}$","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391020258","doi":"https://doi.org/10.1109/cdc49753.2023.10383484"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5102490382","display_name":"Yijie Shi","orcid":"https://orcid.org/0000-0002-7357-7826"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Shi","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University,Shenzhen,China,518107"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University,Shenzhen,China,518107","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035375604","display_name":"Bin Zhu","orcid":"https://orcid.org/0000-0003-2297-0828"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University,Shenzhen,China,518107"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University,Shenzhen,China,518107","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.3739,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71842832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3339","last_page":"3346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9972000122070312,"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/solver","display_name":"Solver","score":0.8220647573471069},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6546944379806519},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.591467022895813},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.5739477872848511},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5091251730918884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.479166179895401},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47787728905677795},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4248013198375702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40034016966819763},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3914225399494171},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3658466637134552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3213503956794739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2974579930305481},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2797471880912781},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11777478456497192}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.8220647573471069},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6546944379806519},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.591467022895813},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.5739477872848511},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5091251730918884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.479166179895401},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47787728905677795},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4248013198375702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40034016966819763},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3914225399494171},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3658466637134552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3213503956794739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2974579930305481},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2797471880912781},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11777478456497192},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W88657458","https://openalex.org/W368469426","https://openalex.org/W1560724230","https://openalex.org/W1964888939","https://openalex.org/W1986280275","https://openalex.org/W2015904350","https://openalex.org/W2023026264","https://openalex.org/W2105693192","https://openalex.org/W2111076441","https://openalex.org/W2171854783","https://openalex.org/W2398886555","https://openalex.org/W3174488350","https://openalex.org/W4230674625","https://openalex.org/W4239510810","https://openalex.org/W4292363360","https://openalex.org/W6856306926"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2547116720","https://openalex.org/W2043864454","https://openalex.org/W2188831877","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W4287635664","https://openalex.org/W3094046485","https://openalex.org/W1508757364"],"abstract_inverted_index":{"We":[0],"formulate":[1],"the":[2,11,16,37],"Multiple":[3],"Kernel":[4],"Learning":[5],"(abbreviated":[6],"as":[7],"MKL)":[8],"problem":[9],"for":[10,36],"support":[12],"vector":[13],"machine":[14],"with":[15],"infamous":[17],"(0,":[18],"1)-loss":[19],"function.":[20],"Some":[21],"first-order":[22],"optimality":[23],"conditions":[24],"are":[25],"given":[26],"and":[27,39],"then":[28],"exploited":[29],"to":[30],"develop":[31],"a":[32],"fast":[33],"ADMM":[34],"solver":[35],"nonconvex":[38],"nonsmooth":[40],"optimization":[41],"problem.":[42],"A":[43],"simple":[44],"numerical":[45],"experiment":[46],"on":[47],"synthetic":[48],"planar":[49],"data":[50],"shows":[51],"that":[52],"our$\\mathbf{MKL}":[53],"-L_{0/1}-\\mathbf{SVM}$framework":[54],"could":[55],"be":[56],"promising.":[57]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}