{"id":"https://openalex.org/W2166906982","doi":"https://doi.org/10.1109/tnn.2008.2008337","title":"Kernel-Matching Pursuits With Arbitrary Loss Functions","display_name":"Kernel-Matching Pursuits With Arbitrary Loss Functions","publication_year":2009,"publication_date":"2009-01-30","ids":{"openalex":"https://openalex.org/W2166906982","doi":"https://doi.org/10.1109/tnn.2008.2008337","mag":"2166906982","pmid":"https://pubmed.ncbi.nlm.nih.gov/19179248"},"language":"en","primary_location":{"id":"doi:10.1109/tnn.2008.2008337","doi":"https://doi.org/10.1109/tnn.2008.2008337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2008.2008337","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"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","raw_type":"journal-article"},"volume":null,"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/A5069034794","display_name":"J.R. Stack","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I175003984","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.R. Stack","raw_affiliation_strings":["cean Sensing & Systems Applications Division, Office of Naval Research, Arlington, VA 22203 USA. jason.stack@navy.mil","Ocean Sensing & Systems Applications Division, Naval Research Laboratory, Inc., Arlington, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"cean Sensing & Systems Applications Division, Office of Naval Research, Arlington, VA 22203 USA. jason.stack@navy.mil","institution_ids":["https://openalex.org/I175003984"]},{"raw_affiliation_string":"Ocean Sensing & Systems Applications Division, Naval Research Laboratory, Inc., Arlington, VA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108913468","display_name":"Gerry J. Dobeck","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2802287952","display_name":"Naval Surface Warfare Center","ror":"https://ror.org/03d4ecn10","country_code":"US","type":"facility","lineage":["https://openalex.org/I1328969757","https://openalex.org/I1330347796","https://openalex.org/I2802287952","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G.J. Dobeck","raw_affiliation_strings":["US Naval Surface Warfare Center, Panama, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Naval Surface Warfare Center, Panama, FL, USA","institution_ids":["https://openalex.org/I2802287952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109304035","display_name":"Xuejun Liao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuejun Liao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948","observed_orcids":["https://orcid.org/0000-0001-6277-7948"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Carin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.015,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81587941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"20","issue":"3","first_page":"395","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.4553000032901764,"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/T10320","display_name":"Neural Networks and Applications","score":0.4553000032901764,"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/T12676","display_name":"Machine Learning and ELM","score":0.20810000598430634,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.11789999902248383,"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/margin-maximization","display_name":"margin maximization","score":0.996999979019165},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7459999918937683},{"id":"https://openalex.org/keywords/non-gaussian-data","display_name":"non-Gaussian data","score":0.9079999923706055},{"id":"https://openalex.org/keywords/outlier-handling","display_name":"outlier handling","score":0.628000020980835},{"id":"https://openalex.org/keywords/classifier-design","display_name":"classifier design","score":0.44200000166893005},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7770000100135803},{"id":"https://openalex.org/keywords/generalization","display_name":"generalization","score":0.7549999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941105127334595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5360257029533386},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.523483157157898},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48801079392433167},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.46186286211013794},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4414404332637787},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4376704692840576},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43127843737602234},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4155729413032532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.359621524810791},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2740097641944885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21057584881782532},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnn.2008.2008337","doi":"https://doi.org/10.1109/tnn.2008.2008337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2008.2008337","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"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","raw_type":"journal-article"},{"id":"pmid:19179248","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19179248","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,"listed_in":[],"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","raw_type":"Journal Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.8549","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.8549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.ee.duke.edu/~xjliao/paper/IEEE09NN_KMP.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309321","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W169539560","https://openalex.org/W1489793438","https://openalex.org/W1506281249","https://openalex.org/W1560724230","https://openalex.org/W1565746575","https://openalex.org/W1573598582","https://openalex.org/W1576520375","https://openalex.org/W1597529531","https://openalex.org/W1604938182","https://openalex.org/W1661786820","https://openalex.org/W1988790447","https://openalex.org/W1993803475","https://openalex.org/W2028496557","https://openalex.org/W2033894760","https://openalex.org/W2070534370","https://openalex.org/W2099854653","https://openalex.org/W2108995755","https://openalex.org/W2116758157","https://openalex.org/W2120100126","https://openalex.org/W2124776405","https://openalex.org/W2129809168","https://openalex.org/W2129894900","https://openalex.org/W2154339330","https://openalex.org/W2156909104","https://openalex.org/W2160217398","https://openalex.org/W2160468005","https://openalex.org/W2160727143","https://openalex.org/W2169937061","https://openalex.org/W2914484425","https://openalex.org/W3144619878","https://openalex.org/W4230674625","https://openalex.org/W4238404964","https://openalex.org/W4239875977","https://openalex.org/W4254634827","https://openalex.org/W4285719527","https://openalex.org/W7023643148"],"related_works":["https://openalex.org/W2169937061","https://openalex.org/W7095968481","https://openalex.org/W2129809168","https://openalex.org/W1511062389","https://openalex.org/W2132299234","https://openalex.org/W7096334462","https://openalex.org/W4308928407","https://openalex.org/W2168824628","https://openalex.org/W120442876","https://openalex.org/W2107525996"],"abstract_inverted_index":{"The":[0,147,167],"purpose":[1],"of":[2,11,85,95,104,144,170],"this":[3,53],"research":[4],"is":[5,39,60,65,129,139],"to":[6,26,112,116,157],"develop":[7],"a":[8,34,55],"classifier":[9],"capable":[10],"state-of-the-art":[12,159],"performance":[13,78,138,174],"in":[14,41,82,124,141],"both":[15],"computational":[16,80],"efficiency":[17],"and":[18,79,91,121,136,193],"generalization":[19],"ability":[20],"while":[21],"allowing":[22,108],"the":[23,63,70,83,93,102,109,114,122,152,176,190],"algorithm":[24,110,137],"designer":[25,111],"choose":[27],"arbitrary":[28,105],"loss":[29,106,132,186],"functions":[30,107,133,187],"as":[31],"appropriate":[32,188],"for":[33,189],"give":[35],"problem":[36,194],"domain.":[37,195],"This":[38,74],"critical":[40],"applications":[42],"involving":[43],"heavily":[44],"imbalanced,":[45,180],"noisy,":[46],"or":[47],"non-Gaussian":[48,126,181],"distributed":[49,127],"data.":[50,166],"To":[51],"achieve":[52],"goal,":[54],"kernel-matching":[56],"pursuit":[57],"(KMP)":[58],"framework":[59],"formulated":[61],"where":[62],"objective":[64],"margin":[66],"maximization":[67],"rather":[68],"than":[69],"standard":[71],"error":[72],"minimization.":[73],"approach":[75],"enables":[76],"excellent":[77],"savings":[81],"presence":[84],"large,":[86],"imbalanced":[87],"training":[88],"data":[89,128,182,191],"sets":[90],"facilitates":[92],"development":[94],"two":[96,142],"general":[97],"algorithms.":[98],"These":[99],"algorithms":[100,154,162,178],"support":[101],"use":[103],"control":[113],"degree":[115],"which":[117,125],"outliers":[118],"are":[119,134],"penalized":[120],"manner":[123],"handled.":[130],"Example":[131],"provided":[135],"illustrated":[140],"groups":[143],"experimental":[145],"results.":[146],"first":[148],"group":[149,169],"demonstrates":[150],"that":[151],"proposed":[153,177],"perform":[155],"equivalent":[156],"several":[158],"machine":[160],"learning":[161],"on":[163,179],"well-published,":[164],"balanced":[165],"second":[168],"results":[171],"illustrates":[172],"superior":[173],"by":[175,184],"achieved":[183],"employing":[185],"characteristics":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
