{"id":"https://openalex.org/W1983575673","doi":"https://doi.org/10.1145/1143844.1143959","title":"Iterative RELIEF for feature weighting","display_name":"Iterative RELIEF for feature weighting","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1983575673","doi":"https://doi.org/10.1145/1143844.1143959","mag":"1983575673"},"language":"en","primary_location":{"id":"doi:10.1145/1143844.1143959","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143844.1143959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on Machine learning  - ICML '06","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/A5039662308","display_name":"Yijun Sun","orcid":"https://orcid.org/0000-0003-0610-6132"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yijun Sun","raw_affiliation_strings":["Interdisciplinary Center for Biotechnology Research and University of Florida, Gainesville, FL","Interdisciplinary Center for Biotechnology Research and University of Florida, Gainesville, FL#TAB#"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Center for Biotechnology Research and University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Interdisciplinary Center for Biotechnology Research and University of Florida, Gainesville, FL#TAB#","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039662308"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":12.9632,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.99072698,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"913","last_page":"920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9894999861717224,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/margin","display_name":"Margin (machine learning)","score":0.7599514722824097},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7504793405532837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7237739562988281},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.605602502822876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.593125581741333},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.46382251381874084},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44806963205337524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4383643865585327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4357209801673889},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.42666730284690857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4246559143066406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38311105966567993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19060614705085754},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1284155547618866}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7599514722824097},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7504793405532837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7237739562988281},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.605602502822876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.593125581741333},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.46382251381874084},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44806963205337524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4383643865585327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4357209801673889},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.42666730284690857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4246559143066406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38311105966567993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19060614705085754},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1284155547618866},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":3,"locations":[{"id":"doi:10.1145/1143844.1143959","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143844.1143959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on Machine learning  - ICML '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.7424","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.7424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://plaza.ufl.edu/sunyijun/Paper/ICML06_1.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.74.8023","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.8023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.icml2006.org/icml_documents/camera-ready/115_Iterative_RELIEF_for.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1496929357","https://openalex.org/W1499021337","https://openalex.org/W1583700199","https://openalex.org/W1808644423","https://openalex.org/W2015932775","https://openalex.org/W2115358726","https://openalex.org/W2892948875"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4389218031"],"abstract_inverted_index":{"We":[0,51,60],"propose":[1],"a":[2,12,23,28,72],"series":[3],"of":[4,15,40,48,90,111],"new":[5,13,33,73],"feature":[6],"weighting":[7],"algorithms,":[8],"all":[9],"stemming":[10],"from":[11],"interpretation":[14,34],"RELIEF":[16],"as":[17],"an":[18,53,81],"online":[19,82],"algorithm":[20,65,84],"that":[21],"solves":[22],"convex":[24],"optimization":[25],"problem":[26],"with":[27],"margin-based":[29],"objective":[30],"function.":[31],"The":[32],"explains":[35],"the":[36,62,91,100,109,112],"simplicity":[37],"and":[38,42,102],"effectiveness":[39,110],"RELIEF,":[41],"enables":[43],"us":[44],"to":[45,56,66,107],"identify":[46],"some":[47],"its":[49],"weaknesses.":[50],"offer":[52],"analytic":[54],"solution":[55],"mitigate":[57],"these":[58],"problems.":[59],"extend":[61],"newly":[63],"proposed":[64,92,113],"handle":[67],"multiclass":[68,74],"problems":[69],"by":[70],"using":[71],"margin":[75],"definition.":[76],"To":[77],"reduce":[78],"computational":[79],"costs,":[80],"learning":[83],"is":[85],"also":[86],"developed.":[87],"Convergence":[88],"theorems":[89],"algorithms":[93],"are":[94,105],"presented.":[95],"Some":[96],"experiments":[97],"based":[98],"on":[99],"UCI":[101],"microarray":[103],"datasets":[104],"performed":[106],"demonstrate":[108],"algorithms.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}