{"id":"https://openalex.org/W1534174183","doi":"https://doi.org/10.1007/3-540-45428-4_4","title":"Boosted Tree Ensembles for Solving Multiclass Problems","display_name":"Boosted Tree Ensembles for Solving Multiclass Problems","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1534174183","doi":"https://doi.org/10.1007/3-540-45428-4_4","mag":"1534174183"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45428-4_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45428-4_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5073755738","display_name":"Terry Windeatt","orcid":"https://orcid.org/0000-0002-5058-9701"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Terry Windeatt","raw_affiliation_strings":["Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK","#N#University of Surrey#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"#N#University of Surrey#N#","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071981751","display_name":"Gholamreza Ardeshir","orcid":"https://orcid.org/0000-0002-2154-1514"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gholamreza Ardeshir","raw_affiliation_strings":["Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK","#N#University of Surrey#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"#N#University of Surrey#N#","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.8499,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72316543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9983000159263611,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9983000159263611,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7782886028289795},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.735802948474884},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.729432225227356},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6747162342071533},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6211844086647034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6156147122383118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6029002666473389},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.585887610912323},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5858176946640015},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5453781485557556},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4850972890853882},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4794118106365204},{"id":"https://openalex.org/keywords/alternating-decision-tree","display_name":"Alternating decision tree","score":0.44970107078552246},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.4325476288795471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33036550879478455},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.24520468711853027},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.24241453409194946},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24225327372550964},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1916481852531433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1806832253932953},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13050535321235657},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08780276775360107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782886028289795},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.735802948474884},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.729432225227356},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6747162342071533},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6211844086647034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6156147122383118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029002666473389},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.585887610912323},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5858176946640015},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5453781485557556},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4850972890853882},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4794118106365204},{"id":"https://openalex.org/C120136583","wikidata":"https://www.wikidata.org/wiki/Q4736414","display_name":"Alternating decision tree","level":5,"score":0.44970107078552246},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.4325476288795471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33036550879478455},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.24520468711853027},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.24241453409194946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24225327372550964},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1916481852531433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1806832253932953},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13050535321235657},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08780276775360107},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-45428-4_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45428-4_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W128984794","https://openalex.org/W1531648066","https://openalex.org/W1562197959","https://openalex.org/W1578772208","https://openalex.org/W1594031697","https://openalex.org/W1595781024","https://openalex.org/W1602492977","https://openalex.org/W1605688901","https://openalex.org/W1676820704","https://openalex.org/W1965834201","https://openalex.org/W1975999821","https://openalex.org/W2006345381","https://openalex.org/W2023093499","https://openalex.org/W2060944252","https://openalex.org/W2084812512","https://openalex.org/W2101276256","https://openalex.org/W2111022379","https://openalex.org/W2125055259","https://openalex.org/W2128420091","https://openalex.org/W2137020446","https://openalex.org/W2141856370","https://openalex.org/W2149706766","https://openalex.org/W2154187553","https://openalex.org/W2982720039","https://openalex.org/W3085162807","https://openalex.org/W3215084437","https://openalex.org/W4255932728","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2024223694","https://openalex.org/W1566212037","https://openalex.org/W2003253977","https://openalex.org/W2240235966","https://openalex.org/W2144679569","https://openalex.org/W2141272333","https://openalex.org/W2202612633","https://openalex.org/W2092652340","https://openalex.org/W2165809851","https://openalex.org/W1564634668"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
