{"id":"https://openalex.org/W2888098137","doi":"https://doi.org/10.1109/tnnls.2018.2861579","title":"Approximation of Ensemble Boundary Using Spectral Coefficients","display_name":"Approximation of Ensemble Boundary Using Spectral Coefficients","publication_year":2018,"publication_date":"2018-08-23","ids":{"openalex":"https://openalex.org/W2888098137","doi":"https://doi.org/10.1109/tnnls.2018.2861579","mag":"2888098137","pmid":"https://pubmed.ncbi.nlm.nih.gov/30892200"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2861579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2861579","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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":"T. Windeatt","raw_affiliation_strings":["Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K","[Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.]"],"raw_orcid":"https://orcid.org/0000-0002-5058-9701","affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"[Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.]","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077139110","display_name":"Cemre Zor","orcid":"https://orcid.org/0000-0002-6141-2610"},"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":"C. Zor","raw_affiliation_strings":["Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K","[Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.]"],"raw_orcid":"https://orcid.org/0000-0002-6141-2610","affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"[Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.]","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058880614","display_name":"Necati Cihan Camg\u00f6z","orcid":"https://orcid.org/0000-0002-6866-4482"},"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":"N. C. Camgoz","raw_affiliation_strings":["Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K","[Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.]"],"raw_orcid":"https://orcid.org/0000-0002-6866-4482","affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"[Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.]","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":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.3886,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73392901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"30","issue":"4","first_page":"1272","last_page":"1277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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":0.9839000105857849,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9729999899864197,"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/boosting","display_name":"Boosting (machine learning)","score":0.6695836186408997},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6369670629501343},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5324673652648926},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5314978957176208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5312319397926331},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.5036997199058533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4989936351776123},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4841381013393402},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.45010679960250854},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44936808943748474},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.44097065925598145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3794601261615753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3606506586074829},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34638863801956177},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13718485832214355},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07960376143455505}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6695836186408997},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6369670629501343},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5324673652648926},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5314978957176208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5312319397926331},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.5036997199058533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4989936351776123},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4841381013393402},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.45010679960250854},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44936808943748474},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.44097065925598145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3794601261615753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3606506586074829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34638863801956177},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13718485832214355},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07960376143455505},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tnnls.2018.2861579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2861579","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:30892200","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30892200","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:alma.44SUR_INST:11139550000002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"Open Research (University of Surrey)","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:epubs.surrey.ac.uk:848829","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/848829/1/windeattTNNLS-2013-P-0123.pdf","pdf_url":"http://epubs.surrey.ac.uk/848829/1/windeattTNNLS-2013-P-0123.pdf","source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10068290","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10068290/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems , 30 (4) pp. 1272-1277. (2019)","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1623080549","https://openalex.org/W1676820704","https://openalex.org/W2000454347","https://openalex.org/W2010830063","https://openalex.org/W2012170251","https://openalex.org/W2019778169","https://openalex.org/W2041573965","https://openalex.org/W2124868070","https://openalex.org/W2149846618","https://openalex.org/W2150025428","https://openalex.org/W2151194076","https://openalex.org/W2158869137","https://openalex.org/W2168847089","https://openalex.org/W2290694504","https://openalex.org/W2470446127","https://openalex.org/W2487087946","https://openalex.org/W2524965963","https://openalex.org/W2585528949","https://openalex.org/W2591909298","https://openalex.org/W2755371172","https://openalex.org/W2765779758","https://openalex.org/W2770723401","https://openalex.org/W3118608800","https://openalex.org/W4400445037","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3108206494","https://openalex.org/W2739726746","https://openalex.org/W4242380336","https://openalex.org/W2073883415","https://openalex.org/W2089304832","https://openalex.org/W2141272333","https://openalex.org/W1976812808","https://openalex.org/W1845209238","https://openalex.org/W2086720713","https://openalex.org/W4313492030"],"abstract_inverted_index":{"A":[0],"spectral":[1],"analysis":[2],"of":[3,14,17,23,50,65],"a":[4,47,63],"Boolean":[5],"function":[6],"is":[7,31,34,46,108,116],"proposed":[8],"for":[9,27,95],"approximating":[10],"the":[11,28,37,40,59,84,91,119],"decision":[12,127],"boundary":[13],"an":[15,20],"ensemble":[16,75],"classifiers,":[18,83,98],"and":[19,42,67],"intuitive":[21],"explanation":[22],"computing":[24],"Walsh":[25],"coefficients":[26,86],"functional":[29],"approximation":[30,102,115],"provided.":[32],"It":[33,107],"shown":[35,110],"that":[36,111],"difference":[38],"between":[39],"first-":[41],"third-order":[43],"coefficient":[44,101,114],"approximations":[45],"good":[48],"indicator":[49],"optimal":[51],"base":[52,82,97,129],"classifier":[53],"complexity.":[54],"When":[55],"combining":[56],"neural":[57],"networks,":[58],"experimental":[60],"results":[61],"on":[62],"variety":[64],"artificial":[66],"real":[68],"two-class":[69],"problems":[70],"demonstrate":[71],"under":[72],"what":[73],"circumstances":[74],"performance":[76,88],"can":[77],"be":[78],"improved.":[79],"For":[80],"tuned":[81],"first-order":[85],"provide":[87],"similar":[89],"to":[90,118],"majority":[92],"vote.":[93],"However,":[94],"weak/fast":[96],"higher":[99,112],"order":[100,113],"may":[103],"give":[104],"better":[105],"performance.":[106],"also":[109],"superior":[117],"Adaboost":[120],"logarithmic":[121],"weighting":[122],"rule":[123],"when":[124],"boosting":[125],"weak":[126],"tree":[128],"classifiers.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}