{"id":"https://openalex.org/W1523741815","doi":"https://doi.org/10.1007/3-540-45014-9_13","title":"Analysis of a Fusion Method for Combining Marginal Classifiers","display_name":"Analysis of a Fusion Method for Combining Marginal Classifiers","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W1523741815","doi":"https://doi.org/10.1007/3-540-45014-9_13","mag":"1523741815"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45014-9_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45014-9_13","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/A5027200396","display_name":"Mark D. Happel","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark D. Happel","raw_affiliation_strings":["Department of Computer Science, The George Washington University, Washington, DC, 20052, USA","the George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The George Washington University, Washington, DC, 20052, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"the George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090863269","display_name":"P. Bock","orcid":"https://orcid.org/0000-0002-7032-9691"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Bock","raw_affiliation_strings":["Department of Computer Science, The George Washington University, Washington, DC, 20052, USA","the George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The George Washington University, Washington, DC, 20052, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"the George Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.1381,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8917725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9825999736785889,"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/classifier","display_name":"Classifier (UML)","score":0.6801360845565796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656254768371582},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.6480966806411743},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.6261489391326904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6184048652648926},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5958446264266968},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5796332359313965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.558179497718811},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.5396220088005066},{"id":"https://openalex.org/keywords/sample-space","display_name":"Sample space","score":0.4866248071193695},{"id":"https://openalex.org/keywords/probability-of-error","display_name":"Probability of error","score":0.48166215419769287},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4780229330062866},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45787733793258667},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4418635070323944},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.42963969707489014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3662470281124115},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34441137313842773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31066805124282837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3102291226387024},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.1576600968837738}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6801360845565796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656254768371582},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.6480966806411743},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.6261489391326904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6184048652648926},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5958446264266968},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5796332359313965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558179497718811},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.5396220088005066},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.4866248071193695},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.48166215419769287},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4780229330062866},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45787733793258667},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4418635070323944},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.42963969707489014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3662470281124115},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34441137313842773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31066805124282837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3102291226387024},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.1576600968837738}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-45014-9_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45014-9_13","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W24189900","https://openalex.org/W1496929357","https://openalex.org/W1770825568","https://openalex.org/W2084134149","https://openalex.org/W2098154993","https://openalex.org/W2135346934","https://openalex.org/W2164568552","https://openalex.org/W2307710359","https://openalex.org/W2309693750","https://openalex.org/W2311097431","https://openalex.org/W2797148637","https://openalex.org/W3015571647","https://openalex.org/W3017143921","https://openalex.org/W4237171445","https://openalex.org/W4301347335","https://openalex.org/W6738852829","https://openalex.org/W6776565550"],"related_works":["https://openalex.org/W2092227584","https://openalex.org/W92531827","https://openalex.org/W58702947","https://openalex.org/W4238585040","https://openalex.org/W2070368201","https://openalex.org/W1548705586","https://openalex.org/W2377040858","https://openalex.org/W1801413419","https://openalex.org/W2393916569","https://openalex.org/W4385486483"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
