{"id":"https://openalex.org/W4404037363","doi":"https://doi.org/10.1109/mlsp58920.2024.10734791","title":"Joint Optimization of Piecewise Linear Ensembles","display_name":"Joint Optimization of Piecewise Linear Ensembles","publication_year":2024,"publication_date":"2024-09-22","ids":{"openalex":"https://openalex.org/W4404037363","doi":"https://doi.org/10.1109/mlsp58920.2024.10734791"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp58920.2024.10734791","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp58920.2024.10734791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"article","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/A5015100129","display_name":"Matt Raymond","orcid":"https://orcid.org/0000-0001-6824-8692"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Raymond","raw_affiliation_strings":["University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051408642","display_name":"Angela Violi","orcid":"https://orcid.org/0000-0001-9517-668X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angela Violi","raw_affiliation_strings":["University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109801600","display_name":"Clayton Scott","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clayton Scott","raw_affiliation_strings":["University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1638796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.4187999963760376,"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/T10320","display_name":"Neural Networks and Applications","score":0.4187999963760376,"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":0.3926999866962433,"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/joint","display_name":"Joint (building)","score":0.762458086013794},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.6493300199508667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287992596626282},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4881919026374817},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4472426772117615},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4127809405326843},{"id":"https://openalex.org/keywords/piecewise-linear-manifold","display_name":"Piecewise linear manifold","score":0.4116048216819763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2518530488014221},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2269025444984436},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12030956149101257},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.0531364381313324}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.762458086013794},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.6493300199508667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287992596626282},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4881919026374817},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4472426772117615},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4127809405326843},{"id":"https://openalex.org/C184175843","wikidata":"https://www.wikidata.org/wiki/Q7191425","display_name":"Piecewise linear manifold","level":3,"score":0.4116048216819763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2518530488014221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2269025444984436},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12030956149101257},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0531364381313324},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":1,"locations":[{"id":"doi:10.1109/mlsp58920.2024.10734791","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp58920.2024.10734791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1506903416","https://openalex.org/W1678356000","https://openalex.org/W1976606095","https://openalex.org/W2088068024","https://openalex.org/W3088487226","https://openalex.org/W3174086521","https://openalex.org/W3216660278","https://openalex.org/W4212883601","https://openalex.org/W4241652050","https://openalex.org/W4290876177","https://openalex.org/W4403932024","https://openalex.org/W6640563878","https://openalex.org/W6675354045","https://openalex.org/W6679407160","https://openalex.org/W6680434193","https://openalex.org/W6684360038","https://openalex.org/W6694253912","https://openalex.org/W6720323505","https://openalex.org/W6750729320","https://openalex.org/W6862866490"],"related_works":["https://openalex.org/W2109304297","https://openalex.org/W2100864966","https://openalex.org/W2490196280","https://openalex.org/W4323366562","https://openalex.org/W1972615387","https://openalex.org/W3173321515","https://openalex.org/W2007464938","https://openalex.org/W2784100870","https://openalex.org/W2354774539","https://openalex.org/W2064873618"],"abstract_inverted_index":{"Tree":[0],"ensembles":[1],"achieve":[2],"state-of-the-art":[3],"performance":[4,90,110],"on":[5,93],"numerous":[6],"prediction":[7,82,109],"tasks.":[8],"We":[9],"propose":[10],"Joint":[11],"Optimization":[12],"of":[13,28,91,103],"Piecewise":[14],"Linear":[15],"Ensembles":[16],"(JOPLEn),":[17],"which":[18],"jointly":[19],"fits":[20],"piecewise":[21],"linear":[22],"models":[23],"at":[24],"all":[25],"leaf":[26],"nodes":[27],"an":[29,75],"existing":[30],"tree":[31,120,128],"ensemble.":[32],"In":[33],"addition":[34],"to":[35,49,52,107,112],"enhancing":[36,127],"the":[37,89],"ensemble":[38],"expressiveness,":[39],"JOPLEn":[40,57,67,92,105],"allows":[41],"several":[42],"common":[43],"penalties,":[44],"including":[45],"sparsity-promoting":[46],"and":[47,96,99,118],"subspace-norms,":[48],"be":[50],"applied":[51],"nonlinear":[53,81],"prediction.":[54],"For":[55],"example,":[56],"with":[58,69,100],"a":[59,70,101],"nuclear":[60],"norm":[61],"penalty":[62],"learns":[63],"subspace-aligned":[64],"functions.":[65],"Additionally,":[66],"(combined":[68],"Dirty":[71],"LASSO":[72],"penalty)":[73],"is":[74],"effective":[76],"feature":[77],"selection":[78],"method":[79],"for":[80,126],"in":[83],"multitask":[84],"learning.":[85],"Finally,":[86],"we":[87],"demonstrate":[88],"153":[94],"regression":[95],"classification":[97],"datasets":[98],"variety":[102],"penalties.":[104],"leads":[106],"improved":[108],"relative":[111],"not":[113],"only":[114],"standard":[115],"random":[116],"forest":[117],"boosted":[119],"ensembles,":[121],"but":[122],"also":[123],"other":[124],"methods":[125],"ensembles.":[129]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}