{"id":"https://openalex.org/W2085561756","doi":"https://doi.org/10.1109/icassp.2014.6854141","title":"Fast margin-based cost-sensitive classification","display_name":"Fast margin-based cost-sensitive classification","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2085561756","doi":"https://doi.org/10.1109/icassp.2014.6854141","mag":"2085561756"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5101890760","display_name":"Nan Feng","orcid":"https://orcid.org/0000-0003-4145-0705"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng Nan","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668862","display_name":"Joseph Wang","orcid":"https://orcid.org/0000-0003-4571-6814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph Wang","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065379886","display_name":"Kirill Trapeznikov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirill Trapeznikov","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048704387","display_name":"Venkatesh Saligrama","orcid":"https://orcid.org/0000-0002-0675-2268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkatesh Saligrama","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101890760"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74803957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"28","issue":null,"first_page":"2952","last_page":"2956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987000226974487,"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":0.9937000274658203,"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","display_name":"Margin (machine learning)","score":0.8532754182815552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7506273984909058},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6710444092750549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5855796337127686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5569097995758057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5227729678153992},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5193113684654236},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.47570592164993286},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4668261408805847},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41777175664901733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41458821296691895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19869080185890198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11518263816833496}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8532754182815552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506273984909058},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6710444092750549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5855796337127686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5569097995758057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5227729678153992},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5193113684654236},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.47570592164993286},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4668261408805847},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41777175664901733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41458821296691895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19869080185890198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11518263816833496},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W195866714","https://openalex.org/W1931877416","https://openalex.org/W1988790447","https://openalex.org/W2101474437","https://openalex.org/W2113640060","https://openalex.org/W2119821739","https://openalex.org/W2125277152","https://openalex.org/W2150959276","https://openalex.org/W2158542502","https://openalex.org/W2164598857","https://openalex.org/W2187805056","https://openalex.org/W2949654875","https://openalex.org/W2962957031","https://openalex.org/W3120740533","https://openalex.org/W4239510810","https://openalex.org/W6608024070","https://openalex.org/W6640174482","https://openalex.org/W6675282250","https://openalex.org/W6678494552","https://openalex.org/W6682722378"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W3091955004"],"abstract_inverted_index":{"We":[0,72,108],"present":[1],"a":[2,41,45,85,90],"novel":[3],"classification":[4,25,70,131],"algorithm":[5,111,125],"for":[6],"learning":[7],"with":[8,65],"test":[9,54,86],"time":[10],"budgets.":[11],"In":[12],"this":[13],"setting,":[14],"the":[15,49,53,80,102],"goal":[16],"is":[17,47,56,97],"to":[18,88,99,106,112],"reduce":[19],"feature":[20,82,104],"acquisition":[21,50],"cost":[22],"while":[23,137],"maintaining":[24],"accuracy.":[26],"For":[27],"every":[28],"decision,":[29],"our":[30,110,124],"approach":[31,59],"dynamically":[32],"selects":[33],"features":[34],"based":[35,69],"on":[36,116],"previously":[37],"observed":[38],"information.":[39],"Once":[40],"desired":[42],"confidence":[43,132],"of":[44,84,92,130],"decision":[46],"achieved,":[48],"stops":[51],"and":[52,133],"instance":[55],"classified.":[57],"Our":[58],"can":[60],"be":[61],"used":[62,98],"in":[63,79,142],"conjunction":[64],"many":[66],"popular":[67],"margin":[68,74],"algorithms.":[71],"use":[73],"information":[75],"from":[76],"training":[77],"data":[78],"partial":[81],"neighborhood":[83],"point":[87],"compute":[89],"probability":[91],"correct":[93],"classification.":[94],"This":[95],"estimate":[96,129],"either":[100],"select":[101],"next":[103],"or":[105],"stop.":[107],"compare":[109],"other":[113,135],"cost-sensitive":[114],"methods":[115],"real":[117],"world":[118],"datasets.":[119],"The":[120],"experiments":[121],"demonstrate":[122],"that":[123],"provides":[126],"an":[127],"accurate":[128],"outperforms":[134],"approaches":[136],"being":[138],"significantly":[139],"more":[140],"efficient":[141],"computation.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}