{"id":"https://openalex.org/W2003477935","doi":"https://doi.org/10.1109/ijcnn.2012.6252640","title":"Feature selection via regularized trees","display_name":"Feature selection via regularized trees","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2003477935","doi":"https://doi.org/10.1109/ijcnn.2012.6252640","mag":"2003477935"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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/A5007259870","display_name":"Houtao Deng","orcid":"https://orcid.org/0000-0003-3194-4592"},"institutions":[{"id":"https://openalex.org/I88773910","display_name":"Intuit (United States)","ror":"https://ror.org/049mrbr98","country_code":"US","type":"company","lineage":["https://openalex.org/I88773910"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houtao Deng","raw_affiliation_strings":["Intuit, Mountain View, California, USA","[Intuit, Mountain View, California, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intuit, Mountain View, California, USA","institution_ids":["https://openalex.org/I88773910"]},{"raw_affiliation_string":"[Intuit, Mountain View, California, USA]","institution_ids":["https://openalex.org/I88773910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002544391","display_name":"George C. Runger","orcid":"https://orcid.org/0000-0001-9460-6983"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Runger","raw_affiliation_strings":["School of Computing, Informatics & Decision Systems Engineering Arizona State university, Tempe, Arizona, USA","School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics & Decision Systems Engineering Arizona State university, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I4210143601"]},{"raw_affiliation_string":"School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, USA#TAB#","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6148,"has_fulltext":false,"cited_by_count":147,"citation_normalized_percentile":{"value":0.98205379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9873999953269958,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9787999987602234,"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/regularization","display_name":"Regularization (linguistics)","score":0.8173317313194275},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7801735401153564},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7516816258430481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.58128821849823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5770885348320007},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5647040605545044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446289777755737},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5044506788253784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48572713136672974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4365352392196655},{"id":"https://openalex.org/keywords/information-gain","display_name":"Information gain","score":0.4175727367401123},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4129719138145447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3439982533454895}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.8173317313194275},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7801735401153564},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7516816258430481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58128821849823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5770885348320007},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5647040605545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446289777755737},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5044506788253784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48572713136672974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4365352392196655},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.4175727367401123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4129719138145447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3439982533454895},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.761.8809","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.761.8809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1201.1587.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W33911032","https://openalex.org/W1516560083","https://openalex.org/W1520812622","https://openalex.org/W1560107318","https://openalex.org/W1840091437","https://openalex.org/W1849729440","https://openalex.org/W2017337590","https://openalex.org/W2048231652","https://openalex.org/W2084812512","https://openalex.org/W2102831150","https://openalex.org/W2112076978","https://openalex.org/W2119479037","https://openalex.org/W2123003976","https://openalex.org/W2125055259","https://openalex.org/W2133091666","https://openalex.org/W2133277699","https://openalex.org/W2133990480","https://openalex.org/W2143426320","https://openalex.org/W2149454242","https://openalex.org/W2154053567","https://openalex.org/W2156571267","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2997674406","https://openalex.org/W4212883601","https://openalex.org/W4250143236","https://openalex.org/W4285719527","https://openalex.org/W6630707853","https://openalex.org/W6633497745","https://openalex.org/W6638875480","https://openalex.org/W6638983183","https://openalex.org/W6676769703","https://openalex.org/W6679868779","https://openalex.org/W6679984647","https://openalex.org/W6682496738","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W2094189286","https://openalex.org/W4237536247","https://openalex.org/W16133775","https://openalex.org/W2328484534","https://openalex.org/W1975169174"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,27],"tree":[3,9,66,89,110],"regularization":[4,21,48,111],"framework,":[5],"which":[6],"enables":[7],"many":[8,122],"models":[10,90],"to":[11,24,40,64,82],"perform":[12],"feature":[13,29,78,118],"selection":[14,119],"efficiently.":[15],"The":[16,47],"key":[17],"idea":[18],"of":[19],"the":[20,41,72,109],"framework":[22,49,112],"is":[23,38,50],"penalize":[25],"selecting":[26],"new":[28],"for":[30,121],"splitting":[31],"when":[32],"its":[33],"gain":[34],"(e.g.":[35],"information":[36],"gain)":[37],"similar":[39],"features":[42],"used":[43],"in":[44],"previous":[45],"splits.":[46],"applied":[51,63],"on":[52],"random":[53],"forest":[54],"and":[55,59,85,96,106,116],"boosted":[56],"trees":[57,74],"here,":[58],"can":[60,75,91],"be":[61],"easily":[62],"other":[65],"models.":[67],"Experimental":[68],"studies":[69],"show":[70],"that":[71],"regularized":[73],"select":[76],"high-quality":[77],"subsets":[79],"with":[80,94],"regard":[81],"both":[83],"strong":[84],"weak":[86],"classifiers.":[87],"Because":[88],"naturally":[92],"deal":[93],"categorical":[95],"numerical":[97],"variables,":[98,104],"missing":[99],"values,":[100],"different":[101],"scales":[102],"between":[103],"interactions":[105],"nonlinearities":[107],"etc.,":[108],"provides":[113],"an":[114],"effective":[115],"efficient":[117],"solution":[120],"practical":[123],"problems.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}