{"id":"https://openalex.org/W2097027431","doi":"https://doi.org/10.1109/ijcnn.2010.5596989","title":"Robust relevance vector machine with noise variance coefficient","display_name":"Robust relevance vector machine with noise variance coefficient","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2097027431","doi":"https://doi.org/10.1109/ijcnn.2010.5596989","mag":"2097027431"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032636287","display_name":"Min Han","orcid":"https://orcid.org/0000-0002-2964-4884"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Han","raw_affiliation_strings":["Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","Faculty of Electronic information and Electrical Engineering, Dalian University of Technology, 116024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]},{"raw_affiliation_string":"Faculty of Electronic information and Electrical Engineering, Dalian University of Technology, 116024, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009318707","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0001-9370-7934"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","Faculty of Electronic information and Electrical Engineering, Dalian University of Technology, 116024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]},{"raw_affiliation_string":"Faculty of Electronic information and Electrical Engineering, Dalian University of Technology, 116024, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2130","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9908000230789185,"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/T10057","display_name":"Face and Expression Recognition","score":0.9855999946594238,"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/relevance-vector-machine","display_name":"Relevance vector machine","score":0.7696127891540527},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.768598198890686},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7219545841217041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6273351907730103},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5699557065963745},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.502575159072876},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49738386273384094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4618491232395172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43666473031044006},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40919703245162964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3921253979206085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.325897753238678}],"concepts":[{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.7696127891540527},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.768598198890686},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7219545841217041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273351907730103},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5699557065963745},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.502575159072876},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49738386273384094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4618491232395172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43666473031044006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40919703245162964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3921253979206085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.325897753238678},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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":25,"referenced_works":["https://openalex.org/W1591455812","https://openalex.org/W1648445109","https://openalex.org/W1819276697","https://openalex.org/W1969408578","https://openalex.org/W2020304706","https://openalex.org/W2024368405","https://openalex.org/W2032369048","https://openalex.org/W2033353095","https://openalex.org/W2088538739","https://openalex.org/W2095175587","https://openalex.org/W2108995755","https://openalex.org/W2117830517","https://openalex.org/W2122880380","https://openalex.org/W2137512539","https://openalex.org/W2156909104","https://openalex.org/W2159257417","https://openalex.org/W2163183933","https://openalex.org/W2164617909","https://openalex.org/W2911546748","https://openalex.org/W2987475568","https://openalex.org/W4254542228","https://openalex.org/W4285719527","https://openalex.org/W6638407356","https://openalex.org/W6680216138","https://openalex.org/W6684271745"],"related_works":["https://openalex.org/W2066952721","https://openalex.org/W2565312173","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2104936869","https://openalex.org/W2186666570","https://openalex.org/W2122277321"],"abstract_inverted_index":{"Classical":[0],"relevance":[1,23,108],"vector":[2,24,109],"machine":[3,25,110],"is":[4,26,38],"sensitive":[5],"to":[6,16,39,65,88],"outliers":[7,60,116],"during":[8],"training":[9,47],"and":[10,68,83,98,118],"has":[11],"weak":[12],"robustness.":[13],"In":[14,49,71],"order":[15],"solve":[17],"this":[18,29],"problem,":[19],"a":[20],"novel":[21],"robust":[22,107],"presented":[27],"in":[28,122],"paper.":[30],"The":[31],"key":[32],"idea":[33],"of":[34,52,59,79,115],"the":[35,50,55,73,77,89,105,113],"proposed":[36,106],"method":[37],"introduce":[40],"individual":[41],"noise":[42,56,80],"variance":[43,57,81],"coefficient":[44],"for":[45,76],"each":[46],"sample.":[48],"process":[51],"model":[53],"training,":[54],"coefficients":[58,82],"gradually":[61],"decrease":[62],"so":[63],"as":[64],"automatically":[66],"detect":[67],"eliminate":[69],"outliers.":[70],"addition,":[72],"iterative":[74],"formulae":[75],"optimization":[78],"hyperparameters":[84],"are":[85],"derived":[86],"according":[87],"Bayesian":[90],"evidence":[91],"framework.":[92],"Simulation":[93],"results":[94],"on":[95],"sinc":[96],"function":[97],"some":[99],"benchmark":[100],"data":[101],"sets":[102],"demonstrate":[103],"that":[104],"can":[111],"resist":[112],"impact":[114],"effectively":[117],"obtain":[119],"better":[120],"robustness":[121],"comparison":[123],"with":[124],"other":[125],"methods.":[126]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
