{"id":"https://openalex.org/W2031497149","doi":"https://doi.org/10.1109/ciel.2013.6613133","title":"Fast heterogeneous boosting","display_name":"Fast heterogeneous boosting","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2031497149","doi":"https://doi.org/10.1109/ciel.2013.6613133","mag":"2031497149"},"language":"en","primary_location":{"id":"doi:10.1109/ciel.2013.6613133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciel.2013.6613133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL)","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/A5075861710","display_name":"Norbert Jankowski","orcid":null},"institutions":[{"id":"https://openalex.org/I3019271933","display_name":"Nicolaus Copernicus University","ror":"https://ror.org/0102mm775","country_code":"PL","type":"education","lineage":["https://openalex.org/I3019271933"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Norbert Jankowski","raw_affiliation_strings":["Department of Informatics, Nicolaus Copernicus University, Poland","Dept. of Inf., Nicolaus Copernicus Univ., Torun, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Nicolaus Copernicus University, Poland","institution_ids":["https://openalex.org/I3019271933"]},{"raw_affiliation_string":"Dept. of Inf., Nicolaus Copernicus Univ., Torun, Poland","institution_ids":["https://openalex.org/I3019271933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075861710"],"corresponding_institution_ids":["https://openalex.org/I3019271933"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.08035721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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":0.9950000047683716,"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/boosting","display_name":"Boosting (machine learning)","score":0.9668809175491333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515297532081604},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.7053953409194946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.569580078125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474746823310852},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5457664132118225},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.49248751997947693},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22017863392829895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10422059893608093}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9668809175491333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515297532081604},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.7053953409194946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.569580078125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474746823310852},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5457664132118225},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.49248751997947693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22017863392829895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10422059893608093},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciel.2013.6613133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciel.2013.6613133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL)","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":31,"referenced_works":["https://openalex.org/W44479324","https://openalex.org/W1557418592","https://openalex.org/W1605688901","https://openalex.org/W1689508274","https://openalex.org/W1850527962","https://openalex.org/W1926592634","https://openalex.org/W1966280301","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W2029395046","https://openalex.org/W2049861803","https://openalex.org/W2079669172","https://openalex.org/W2112076978","https://openalex.org/W2115629999","https://openalex.org/W2124868070","https://openalex.org/W2133796500","https://openalex.org/W2152761983","https://openalex.org/W2156909104","https://openalex.org/W2170407469","https://openalex.org/W2335925837","https://openalex.org/W2487087946","https://openalex.org/W2912934387","https://openalex.org/W2990062256","https://openalex.org/W3120740533","https://openalex.org/W4212883601","https://openalex.org/W4254582343","https://openalex.org/W4285719527","https://openalex.org/W4297944103","https://openalex.org/W6601804093","https://openalex.org/W6639048329","https://openalex.org/W6676769703"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"The":[0,32,69,99],"main":[1,33],"goal":[2],"of":[3,8,28,38,48,63,74,77,81,95],"this":[4],"paper":[5,70],"is":[6,17,58,106],"introduction":[7],"fast":[9,61,82,96],"heterogeneous":[10,39,56,87,104],"boosting":[11,16,57,105],"algorithm.":[12],"`Heterogeneous'":[13],"means":[14],"that":[15,103],"based":[18],"not":[19],"on":[20,91],"single-type":[21],"learning":[22,46,65,83,97],"machine,":[23],"but":[24],"may":[25],"use":[26,43],"machines":[27,47,84],"several":[29],"types":[30,80],"coherently.":[31],"idea":[34],"behind":[35],"the":[36,55],"construction":[37],"boostings":[40,76],"was":[41],"to":[42,53],"it":[44],"with":[45,85],"low":[49],"complexity":[50],"(O(nd)).":[51],"Thanks":[52],"that,":[54],"still":[59],"a":[60,72,78,92],"algorithm":[62],"linear":[64],"(and":[66],"usage)":[67],"complexity.":[68],"presents":[71],"comparison":[73,101],"homogeneous":[75],"few":[79],"introduced":[86],"boosting,":[88],"which":[89],"base":[90],"small":[93],"group":[94],"machines.":[98],"presented":[100],"proves":[102],"efficient":[107],"and":[108],"accurate.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}