{"id":"https://openalex.org/W2480082679","doi":"https://doi.org/10.1007/s10994-016-5574-8","title":"$$\\text {ALR}^n$$ ALR n : accelerated higher-order logistic regression","display_name":"$$\\text {ALR}^n$$ ALR n : accelerated higher-order logistic regression","publication_year":2016,"publication_date":"2016-07-22","ids":{"openalex":"https://openalex.org/W2480082679","doi":"https://doi.org/10.1007/s10994-016-5574-8","mag":"2480082679"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-016-5574-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-016-5574-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5574-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5574-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009322683","display_name":"Nayyar A. Zaidi","orcid":"https://orcid.org/0000-0003-4024-2517"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nayyar A. Zaidi","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058054791","display_name":"Geoffrey I. Webb","orcid":"https://orcid.org/0000-0001-9963-5169"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Geoffrey I. Webb","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069487278","display_name":"Mark Carman","orcid":"https://orcid.org/0000-0001-6575-9737"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mark J. Carman","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005781957","display_name":"Fran\u00e7ois Petitjean","orcid":"https://orcid.org/0000-0001-5334-3574"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Petitjean","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014918148","display_name":"Jes\u00fas Cerquides","orcid":"https://orcid.org/0000-0002-3752-644X"},"institutions":[{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"government","lineage":["https://openalex.org/I134820265"]},{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jes\u00fas Cerquides","raw_affiliation_strings":["IIIA-CSIC, Artificial Intelligence Research Institute, Spanish National Research Council, Campus UAB, 08193, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIA-CSIC, Artificial Intelligence Research Institute, Spanish National Research Council, Campus UAB, 08193, Bellaterra, Spain","institution_ids":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009322683"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.1071,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88675225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"104","issue":"2-3","first_page":"151","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9857000112533569,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9815000295639038,"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/logistic-regression","display_name":"Logistic regression","score":0.8524144887924194},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8096970319747925},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6086831092834473},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.5532719492912292},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5382833480834961},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5351551175117493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5281897783279419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4974880516529083},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.45554131269454956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4435860514640808},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4349799156188965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3982624411582947}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8524144887924194},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8096970319747925},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6086831092834473},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.5532719492912292},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5382833480834961},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5351551175117493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5281897783279419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4974880516529083},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.45554131269454956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4435860514640808},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4349799156188965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3982624411582947}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10994-016-5574-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-016-5574-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5574-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:digital.csic.es:10261/139268","is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/139268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30135380","is_oa":false,"landing_page_url":"http://doi.org/10.1007/s10994-016-5574-8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1007/s10994-016-5574-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-016-5574-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5574-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G5904147079","display_name":"Combining generative and discriminative strategies to facilitate efficient and effective learning from big data","funder_award_id":"DP140100087","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":null},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2480082679.pdf","grobid_xml":"https://content.openalex.org/works/W2480082679.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W36434594","https://openalex.org/W168332103","https://openalex.org/W198968302","https://openalex.org/W205960552","https://openalex.org/W1501858372","https://openalex.org/W1516193414","https://openalex.org/W1550825417","https://openalex.org/W1551209770","https://openalex.org/W1599335667","https://openalex.org/W1601795611","https://openalex.org/W1618449801","https://openalex.org/W1663973292","https://openalex.org/W1966428349","https://openalex.org/W1979102876","https://openalex.org/W1979946760","https://openalex.org/W1989344766","https://openalex.org/W2000359198","https://openalex.org/W2007543489","https://openalex.org/W2031357797","https://openalex.org/W2032427901","https://openalex.org/W2040708445","https://openalex.org/W2043182541","https://openalex.org/W2078129874","https://openalex.org/W2086338626","https://openalex.org/W2099992083","https://openalex.org/W2108626773","https://openalex.org/W2108949035","https://openalex.org/W2111574971","https://openalex.org/W2114229504","https://openalex.org/W2121360488","https://openalex.org/W2132849374","https://openalex.org/W2147079026","https://openalex.org/W2166183437","https://openalex.org/W2168885658","https://openalex.org/W2211621381","https://openalex.org/W2285144687","https://openalex.org/W2296319761","https://openalex.org/W2406048721","https://openalex.org/W2504658994","https://openalex.org/W2911964244","https://openalex.org/W3120740533","https://openalex.org/W3136726919","https://openalex.org/W3195234955","https://openalex.org/W4388323202","https://openalex.org/W6601502966","https://openalex.org/W6629510986","https://openalex.org/W6665018949","https://openalex.org/W6676930901","https://openalex.org/W6799798688","https://openalex.org/W7028427386","https://openalex.org/W7074565645"],"related_works":["https://openalex.org/W4211027790","https://openalex.org/W4246416652","https://openalex.org/W2048488252","https://openalex.org/W4288365262","https://openalex.org/W2940614149","https://openalex.org/W4289884158","https://openalex.org/W2787485953","https://openalex.org/W3217432596","https://openalex.org/W3164319184","https://openalex.org/W4387226401"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"Accelerated":[3,74],"Logistic":[4,12,33,57,75],"Regression:":[5],"a":[6],"hybrid":[7],"generative-discriminative":[8,26],"approach":[9,27],"to":[10],"training":[11],"Regression":[13,34,76],"with":[14],"high-order":[15],"features.":[16],"We":[17,69,88],"present":[18],"two":[19],"main":[20],"results:":[21],"(1)":[22],"that":[23,37,44],"our":[24],"combined":[25],"significantly":[28,62],"improves":[29],"the":[30,46,50,54,71],"efficiency":[31],"of":[32,49,56,73,82],"and":[35,104],"(2)":[36],"incorporating":[38],"higher":[39],"order":[40],"features":[41,43],"(i.e.":[42],"are":[45],"Cartesian":[47],"products":[48],"original":[51],"features)":[52],"reduces":[53,63],"bias":[55],"Regression,":[58],"which":[59],"in":[60],"turn":[61],"its":[64,90],"error":[65],"on":[66,84,93],"large":[67,94],"datasets.":[68,87],"assess":[70],"efficacy":[72],"by":[77,96],"conducting":[78],"an":[79],"extensive":[80],"set":[81],"experiments":[83],"75":[85],"standard":[86],"demonstrate":[89],"competitiveness,":[91],"particularly":[92],"datasets,":[95],"comparing":[97],"against":[98],"state-of-the-art":[99],"classifiers":[100],"including":[101],"Random":[102],"Forest":[103],"Averaged":[105],"n-Dependence":[106],"Estimators.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
