{"id":"https://openalex.org/W1550863320","doi":"https://doi.org/10.1109/icassp.2003.1198860","title":"Optimizing SVMs for complex call classification","display_name":"Optimizing SVMs for complex call classification","publication_year":2003,"publication_date":"2003-11-21","ids":{"openalex":"https://openalex.org/W1550863320","doi":"https://doi.org/10.1109/icassp.2003.1198860","mag":"1550863320"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1198860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1198860","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5026605560","display_name":"Patrick Haffner","orcid":"https://orcid.org/0000-0002-2319-5109"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Haffner","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA","AT&T Lab. Res., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Lab. Res., USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087941479","display_name":"G\u00f6khan T\u00fcr","orcid":"https://orcid.org/0009-0008-7740-2557"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Tur","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA","AT&T Lab. Res., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Lab. Res., USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110025168","display_name":"J. H. Wright","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.H. Wright","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA","AT&T Lab. Res., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Lab. Res., USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":12.9161,"has_fulltext":false,"cited_by_count":220,"citation_normalized_percentile":{"value":0.99333675,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9997000098228455,"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/T12031","display_name":"Speech and dialogue systems","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9986000061035156,"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/support-vector-machine","display_name":"Support vector machine","score":0.7179063558578491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037419676780701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156154036521912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49805212020874023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3927878141403198}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7179063558578491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037419676780701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156154036521912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49805212020874023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3927878141403198}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2003.1198860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1198860","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.58.6168","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.6168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.att.com/~gtur/pubs/ICASSP03CC.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W55328212","https://openalex.org/W274046237","https://openalex.org/W1495272761","https://openalex.org/W1576520375","https://openalex.org/W1588401315","https://openalex.org/W1618905105","https://openalex.org/W1638608766","https://openalex.org/W2035514778","https://openalex.org/W2053463056","https://openalex.org/W2104386187","https://openalex.org/W2148603752","https://openalex.org/W2149684865","https://openalex.org/W2171144711","https://openalex.org/W2594610113","https://openalex.org/W3119651796","https://openalex.org/W4285719527","https://openalex.org/W6602256816","https://openalex.org/W6610118533","https://openalex.org/W6633616865","https://openalex.org/W6634442568","https://openalex.org/W6635310694","https://openalex.org/W6675433166","https://openalex.org/W6682304300"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W2149757685","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Large":[0],"margin":[1],"classifiers":[2,27],"such":[3],"as":[4],"support":[5],"vector":[6],"machines":[7],"(SVM)":[8],"or":[9,18],"Adaboost":[10],"are":[11,93],"obvious":[12],"choices":[13],"for":[14,110],"natural":[15,119],"language":[16],"document":[17],"call":[19],"routing.":[20],"However,":[21],"how":[22,35],"to":[23,28,95,103],"combine":[24],"several":[25],"binary":[26,77],"optimize":[29],"the":[30,105],"whole":[31],"routing":[32],"process":[33,37,62],"and":[34,89],"this":[36,98],"scales":[38],"when":[39],"it":[40],"involves":[41],"many":[42],"different":[43],"decisions":[44],"(or":[45],"classes)":[46],"is":[47,85],"a":[48,59,72],"complex":[49],"problem":[50],"that":[51,70,92],"has":[52],"only":[53],"received":[54],"partial":[55],"answers.":[56],"We":[57],"propose":[58],"global":[60],"optimization":[61],"based":[63],"on":[64],"an":[65],"optimal":[66],"channel":[67],"communication":[68],"model":[69],"allows":[71],"combination":[73],"of":[74],"possibly":[75],"heterogeneous":[76],"classifiers.":[78],"As":[79],"in":[80],"Markov":[81],"modeling,":[82],"computational":[83],"feasibility":[84],"achieved":[86],"through":[87],"simplifications":[88],"independence":[90],"assumptions":[91],"easy":[94],"interpret.":[96],"Using":[97],"approach,":[99],"we":[100],"have":[101],"managed":[102],"decrease":[104],"call-type":[106],"classification":[107],"error":[108],"rate":[109],"AT&T's":[111],"How":[112],"May":[113],"I":[114],"Help":[115],"You":[116],"(HMIHY/sup":[117],"(sm)/)":[118],"dialog":[120],"system":[121],"by":[122],"50":[123],"%.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}