{"id":"https://openalex.org/W4237830861","doi":"https://doi.org/10.1109/cimca.2005.1631412","title":"Learning Topic-Based Mixture Models for Factored Classification","display_name":"Learning Topic-Based Mixture Models for Factored Classification","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W4237830861","doi":"https://doi.org/10.1109/cimca.2005.1631412"},"language":"en","primary_location":{"id":"doi:10.1109/cimca.2005.1631412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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/A5100336689","display_name":"Qiong Chen","orcid":"https://orcid.org/0009-0006-9973-1269"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiong Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009083320","display_name":"T.M. Mitchell","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.M. Mitchell","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100336689"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45499751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1114","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.8144999742507935,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.8144999742507935,"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/class","display_name":"Class (philosophy)","score":0.6695435643196106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6661483645439148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5980598330497742},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5510733723640442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5015332698822021},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.47107401490211487},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3829970359802246},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10306534171104431}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6695435643196106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661483645439148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5980598330497742},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5510733723640442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5015332698822021},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.47107401490211487},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3829970359802246},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10306534171104431}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cimca.2005.1631412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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":7,"referenced_works":["https://openalex.org/W35388109","https://openalex.org/W244229541","https://openalex.org/W1559013041","https://openalex.org/W1901583629","https://openalex.org/W1999337483","https://openalex.org/W6601425947","https://openalex.org/W6609376965"],"related_works":["https://openalex.org/W2990323019","https://openalex.org/W2014494654","https://openalex.org/W3130349901","https://openalex.org/W1579833936","https://openalex.org/W2095350775","https://openalex.org/W1952261593","https://openalex.org/W2611741382","https://openalex.org/W2115713555","https://openalex.org/W2014842417","https://openalex.org/W3135843367"],"abstract_inverted_index":{"We":[0,61,101],"present":[1,62,102],"a":[2,9,22,33,38,81],"learning":[3,107],"algorithm":[4,104],"for":[5,32,97,105,111,141],"factored":[6,14,20,66,112,117],"classification,":[7,15],"employing":[8],"topic-based":[10,94],"mixture":[11,82,95,109],"model.":[12],"In":[13],"the":[16,29,46,50,126],"class":[17,25,30,84],"label":[18,31],"is":[19,75],"into":[21],"vector":[23],"of":[24,49,68,83,108,128],"features.":[26,85],"For":[27],"example,":[28],"personal":[34],"web":[35,122],"page":[36],"at":[37],"university":[39],"might":[40],"be":[41,78],"described":[42],"by":[43,80],"two":[44,116],"features:":[45],"academic":[47],"discipline":[48],"person,":[51],"and":[52,124,134],"their":[53],"position":[54],"(e.g.,":[55],"\u2018chemistry":[56],"professor\u2019":[57],"or":[58],"\u2018physics":[59],"student\u2019).":[60],"an":[63,103],"approach":[64],"to":[65,77],"classification":[67,119],"text":[69,99,118],"documents":[70],"in":[71,115],"which":[72],"each":[73],"document":[74],"assumed":[76],"generated":[79],"This":[86],"formulation":[87],"allows":[88],"building":[89],"on":[90,93],"recent":[91],"work":[92],"models":[96,110],"unsupervised":[98],"analysis.":[100],"supervised":[106],"classification.":[113],"Experiments":[114],"problems":[120],"(classifying":[121],"pages":[123],"classifying":[125],"intent":[127],"email":[129],"senders)":[130],"demonstrate":[131],"our":[132],"approach,":[133],"show":[135],"it":[136],"can":[137],"outperform":[138],"earlier":[139],"approaches":[140],"categories":[142],"with":[143],"especially":[144],"sparse":[145],"training":[146],"data.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
