{"id":"https://openalex.org/W3043193425","doi":"https://doi.org/10.1007/978-3-030-53552-0_25","title":"An Alternating DCA-Based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation","display_name":"An Alternating DCA-Based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3043193425","doi":"https://doi.org/10.1007/978-3-030-53552-0_25","mag":"3043193425"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-53552-0_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-53552-0_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5013801164","display_name":"Vinh Thanh Ho","orcid":"https://orcid.org/0009-0009-1416-5360"},"institutions":[{"id":"https://openalex.org/I4387155471","display_name":"Laboratoire de G\u00e9nie Informatique, de Production et de Maintenance","ror":"https://ror.org/04xykxd72","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210150706","https://openalex.org/I4387155471","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Vinh Thanh Ho","raw_affiliation_strings":["Computer Science and Applications Department, LGIPM, University of Lorraine, Metz, France"],"affiliations":[{"raw_affiliation_string":"Computer Science and Applications Department, LGIPM, University of Lorraine, Metz, France","institution_ids":["https://openalex.org/I4387155471","https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042936176","display_name":"Hoai An Le Thi","orcid":"https://orcid.org/0000-0002-2239-2100"},"institutions":[{"id":"https://openalex.org/I4387155471","display_name":"Laboratoire de G\u00e9nie Informatique, de Production et de Maintenance","ror":"https://ror.org/04xykxd72","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210150706","https://openalex.org/I4387155471","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hoai An Le Thi","raw_affiliation_strings":["Computer Science and Applications Department, LGIPM, University of Lorraine, Metz, France"],"affiliations":[{"raw_affiliation_string":"Computer Science and Applications Department, LGIPM, University of Lorraine, Metz, France","institution_ids":["https://openalex.org/I4387155471","https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013801164"],"corresponding_institution_ids":["https://openalex.org/I4387155471","https://openalex.org/I90183372"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12108186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6150979995727539},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6044620871543884},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.6022208333015442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5504617691040039},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.549274206161499},{"id":"https://openalex.org/keywords/design-matrix","display_name":"Design matrix","score":0.5306593179702759},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.5165080428123474},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4998793601989746},{"id":"https://openalex.org/keywords/coefficient-matrix","display_name":"Coefficient matrix","score":0.48993390798568726},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46490156650543213},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42441922426223755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4151359498500824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24754378199577332},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.218002051115036}],"concepts":[{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6150979995727539},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6044620871543884},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6022208333015442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5504617691040039},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.549274206161499},{"id":"https://openalex.org/C203233044","wikidata":"https://www.wikidata.org/wiki/Q5264358","display_name":"Design matrix","level":3,"score":0.5306593179702759},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.5165080428123474},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4998793601989746},{"id":"https://openalex.org/C60866291","wikidata":"https://www.wikidata.org/wiki/Q5140577","display_name":"Coefficient matrix","level":3,"score":0.48993390798568726},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46490156650543213},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42441922426223755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4151359498500824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24754378199577332},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.218002051115036},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-53552-0_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-53552-0_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-03063920v1","is_oa":false,"landing_page_url":"https://hal.univ-lorraine.fr/hal-03063920","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ilias S. Kotsireas; Panos M. Pardalos. Learning and Intelligent Optimization : 14th International Conference, LION 14, Athens, Greece, May 24\u201328, 2020, Revised Selected Papers, 12096, Springer, pp.264-277, 2020, Lecture Notes in Computer Science, 978-3-030-53551-3, 978-3-030-53552-0. ⟨10.1007/978-3-030-53552-0_25⟩","raw_type":"Book sections"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W96332730","https://openalex.org/W187184694","https://openalex.org/W597306749","https://openalex.org/W1493492050","https://openalex.org/W1688181887","https://openalex.org/W1854407662","https://openalex.org/W1899679829","https://openalex.org/W1966093925","https://openalex.org/W1966315074","https://openalex.org/W1988778152","https://openalex.org/W1990494141","https://openalex.org/W2004026774","https://openalex.org/W2051664786","https://openalex.org/W2057797006","https://openalex.org/W2073503722","https://openalex.org/W2081531193","https://openalex.org/W2081746825","https://openalex.org/W2084847607","https://openalex.org/W2090963365","https://openalex.org/W2102984754","https://openalex.org/W2114605231","https://openalex.org/W2141907517","https://openalex.org/W2165394790","https://openalex.org/W2283039974","https://openalex.org/W2340859457","https://openalex.org/W2421355487","https://openalex.org/W2551721268","https://openalex.org/W2612922558","https://openalex.org/W2621285315","https://openalex.org/W2754482208","https://openalex.org/W2757561447","https://openalex.org/W2758191719","https://openalex.org/W2784638391","https://openalex.org/W2888238026","https://openalex.org/W2897709236","https://openalex.org/W2963769561","https://openalex.org/W2968000997","https://openalex.org/W2970934560","https://openalex.org/W3006977717","https://openalex.org/W3124484778"],"related_works":["https://openalex.org/W2605466855","https://openalex.org/W1980909694","https://openalex.org/W2106475374","https://openalex.org/W2918472618","https://openalex.org/W2378148360","https://openalex.org/W2934484485","https://openalex.org/W4242086403","https://openalex.org/W4226071118","https://openalex.org/W4224231346","https://openalex.org/W2909204521"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}