{"id":"https://openalex.org/W1541794469","doi":"https://doi.org/10.1023/a:1007670818503","title":"An Efficient Extension to Mixture Techniques for Prediction and Decision Trees","display_name":"An Efficient Extension to Mixture Techniques for Prediction and Decision Trees","publication_year":1999,"publication_date":"1999-09-01","ids":{"openalex":"https://openalex.org/W1541794469","doi":"https://doi.org/10.1023/a:1007670818503","mag":"1541794469"},"language":"en","primary_location":{"id":"doi:10.1023/a:1007670818503","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1007670818503","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1007670818503.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":null,"license_id":null,"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":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1023/A:1007670818503.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103620421","display_name":"Fernando C. N. Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098935","display_name":"Li Creative Technologies (United States)","ror":"https://ror.org/010hpfk35","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098935"]},{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fernando C. Pereira","raw_affiliation_strings":["AT&T Labs, 180 Park Avenue, Florham Park, NJ, 07932","AT&T Labs, 180 Park Avenue, Florham Park, NJ 07932. pereira@research.att.com#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, 180 Park Avenue, Florham Park, NJ, 07932","institution_ids":["https://openalex.org/I4210098935"]},{"raw_affiliation_string":"AT&T Labs, 180 Park Avenue, Florham Park, NJ 07932. pereira@research.att.com#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113437318","display_name":"Yoram Singer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098935","display_name":"Li Creative Technologies (United States)","ror":"https://ror.org/010hpfk35","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098935"]},{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoram Singer","raw_affiliation_strings":["AT&T Labs, 180 Park Avenue, Florham Park, NJ, 07932","AT&T Labs, 180 Park Avenue, Florham Park, NJ 07932. singer@research.att.com"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, 180 Park Avenue, Florham Park, NJ, 07932","institution_ids":["https://openalex.org/I4210098935"]},{"raw_affiliation_string":"AT&T Labs, 180 Park Avenue, Florham Park, NJ 07932. singer@research.att.com","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103620421"],"corresponding_institution_ids":["https://openalex.org/I1283103587","https://openalex.org/I4210098935"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":4.172,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93711687,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"3","first_page":"183","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9994000196456909,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9994000196456909,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.996399998664856,"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/T10028","display_name":"Topic Modeling","score":0.9941999912261963,"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/mathematics","display_name":"Mathematics","score":0.750789999961853},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5864171385765076},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5264932513237},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5257683396339417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5143643617630005},{"id":"https://openalex.org/keywords/weight-function","display_name":"Weight function","score":0.496279776096344},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4925249516963959},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45890161395072937},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41850847005844116},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.33962589502334595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2084536850452423},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19460642337799072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19267311692237854}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.750789999961853},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5864171385765076},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5264932513237},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5257683396339417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5143643617630005},{"id":"https://openalex.org/C134466208","wikidata":"https://www.wikidata.org/wiki/Q1520657","display_name":"Weight function","level":2,"score":0.496279776096344},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4925249516963959},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45890161395072937},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41850847005844116},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.33962589502334595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2084536850452423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19460642337799072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19267311692237854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1007670818503","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1007670818503","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1007670818503.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1023/a:1007670818503","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1007670818503","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1007670818503.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1541794469.pdf","grobid_xml":"https://content.openalex.org/works/W1541794469.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1508165687","https://openalex.org/W1594031697","https://openalex.org/W1963571628","https://openalex.org/W1970483275","https://openalex.org/W1979675141","https://openalex.org/W1988790447","https://openalex.org/W1994920552","https://openalex.org/W1999120268","https://openalex.org/W2082092506","https://openalex.org/W2093825590","https://openalex.org/W2095963120","https://openalex.org/W2113641473","https://openalex.org/W2116190532","https://openalex.org/W2116952242","https://openalex.org/W2119047110","https://openalex.org/W2123959253","https://openalex.org/W2125055259","https://openalex.org/W2134237567","https://openalex.org/W2136279161","https://openalex.org/W2148381206","https://openalex.org/W2148844225","https://openalex.org/W2163294786","https://openalex.org/W2183235533","https://openalex.org/W2611071497","https://openalex.org/W2611627047","https://openalex.org/W3085162807","https://openalex.org/W4233559841","https://openalex.org/W4234588445","https://openalex.org/W4247131500","https://openalex.org/W4248175720","https://openalex.org/W6680142256","https://openalex.org/W6737294430","https://openalex.org/W6737347378","https://openalex.org/W6843735874","https://openalex.org/W7071444332"],"related_works":["https://openalex.org/W2952185452","https://openalex.org/W2798106756","https://openalex.org/W2046736294","https://openalex.org/W1519526186","https://openalex.org/W2980815195","https://openalex.org/W4293584968","https://openalex.org/W2384758770","https://openalex.org/W2032964960","https://openalex.org/W100626418","https://openalex.org/W1985727224"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}