{"id":"https://openalex.org/W2964138195","doi":"https://doi.org/10.1145/3309541","title":"Probabilistic Feature Selection and Classification Vector Machine","display_name":"Probabilistic Feature Selection and Classification Vector Machine","publication_year":2019,"publication_date":"2019-04-18","ids":{"openalex":"https://openalex.org/W2964138195","doi":"https://doi.org/10.1145/3309541","mag":"2964138195"},"language":"en","primary_location":{"id":"doi:10.1145/3309541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3309541","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3309541","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3309541","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013029508","display_name":"Bingbing Jiang","orcid":"https://orcid.org/0000-0003-2217-6202"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingbing Jiang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103046538","display_name":"Li Chang","orcid":"https://orcid.org/0000-0002-9829-2106"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chang Li","raw_affiliation_strings":["University of Amsterdam, Amsterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, the Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten De Rijke","raw_affiliation_strings":["University of Amsterdam, Amsterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, the Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["Southern University of Science and Technology, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605447","display_name":"Huanhuan Chen","orcid":"https://orcid.org/0000-0002-3918-384X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013029508"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":3.1677,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.93704459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"2","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9922999739646912,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7914484143257141},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7365798950195312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6531050801277161},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.620040774345398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5887840390205383},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5494928359985352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.539400041103363},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5134257078170776},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4948820471763611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48530882596969604},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4827834665775299},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.48090696334838867},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41012585163116455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35563328862190247}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7914484143257141},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7365798950195312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6531050801277161},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.620040774345398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5887840390205383},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5494928359985352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.539400041103363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5134257078170776},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4948820471763611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48530882596969604},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4827834665775299},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.48090696334838867},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41012585163116455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35563328862190247},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":4,"locations":[{"id":"doi:10.1145/3309541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3309541","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3309541","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/8f0dd024-a3c6-4b9c-a0d1-eb20e842d9a8","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/probabilistic-feature-selection-and-classification-vector-machine(8f0dd024-a3c6-4b9c-a0d1-eb20e842d9a8).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jiang, B, Li, C, De Rijke, M, Yao, X & Chen, H 2019, 'Probabilistic feature selection and classification vector machine', ACM Transactions on Knowledge Discovery from Data, vol. 13, no. 2, 21. https://doi.org/10.1145/3309541","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1609.05486","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.05486","pdf_url":"https://arxiv.org/pdf/1609.05486","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/8f0dd024-a3c6-4b9c-a0d1-eb20e842d9a8","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/probabilistic-feature-selection-and-classification-vector-machine(8f0dd024-a3c6-4b9c-a0d1-eb20e842d9a8).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data, 13(2):21. Association for Computing Machinery (ACM)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1145/3309541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3309541","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3309541","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8125077543","display_name":null,"funder_award_id":"91846111 and 91746209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964138195.pdf","grobid_xml":"https://content.openalex.org/works/W2964138195.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1444168786","https://openalex.org/W1528905581","https://openalex.org/W1540007258","https://openalex.org/W1565746575","https://openalex.org/W1583837637","https://openalex.org/W1612277053","https://openalex.org/W1648445109","https://openalex.org/W1749992802","https://openalex.org/W1947251450","https://openalex.org/W1949281989","https://openalex.org/W1965102691","https://openalex.org/W1970727126","https://openalex.org/W1988520084","https://openalex.org/W1997313699","https://openalex.org/W2012899881","https://openalex.org/W2029538739","https://openalex.org/W2038894244","https://openalex.org/W2039044448","https://openalex.org/W2078381696","https://openalex.org/W2084812512","https://openalex.org/W2087684630","https://openalex.org/W2097839764","https://openalex.org/W2103372737","https://openalex.org/W2103972570","https://openalex.org/W2107710506","https://openalex.org/W2107961375","https://openalex.org/W2109363337","https://openalex.org/W2112794562","https://openalex.org/W2115606304","https://openalex.org/W2119320253","https://openalex.org/W2119464071","https://openalex.org/W2119821739","https://openalex.org/W2121007818","https://openalex.org/W2126350882","https://openalex.org/W2139212933","https://openalex.org/W2148603752","https://openalex.org/W2149620660","https://openalex.org/W2150579376","https://openalex.org/W2152734820","https://openalex.org/W2153338628","https://openalex.org/W2153635508","https://openalex.org/W2154053567","https://openalex.org/W2158825237","https://openalex.org/W2159611475","https://openalex.org/W2163757302","https://openalex.org/W2166361453","https://openalex.org/W2168561598","https://openalex.org/W2169196724","https://openalex.org/W2171175638","https://openalex.org/W2171837816","https://openalex.org/W2179489622","https://openalex.org/W2214080290","https://openalex.org/W2257550357","https://openalex.org/W2336484677","https://openalex.org/W2468540678","https://openalex.org/W2510447297","https://openalex.org/W2523482916","https://openalex.org/W2531147148","https://openalex.org/W2539200877","https://openalex.org/W2559997609","https://openalex.org/W2752794725","https://openalex.org/W2799061466","https://openalex.org/W2911546748","https://openalex.org/W2915070458","https://openalex.org/W2962905870","https://openalex.org/W2997546679","https://openalex.org/W3011903964","https://openalex.org/W3015571647","https://openalex.org/W3100535899","https://openalex.org/W4212863985","https://openalex.org/W4230674625","https://openalex.org/W4285719527","https://openalex.org/W6677891154"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2015518264","https://openalex.org/W2147201983","https://openalex.org/W2795035211","https://openalex.org/W2160108762"],"abstract_inverted_index":{"Sparse":[0],"Bayesian":[1,38,64],"learning":[2,7],"is":[3,94,115,181],"a":[4,12,61,164],"state-of-the-art":[5],"supervised":[6],"algorithm":[8,68],"that":[9,69],"can":[10],"choose":[11],"subset":[13],"of":[14,30,51,143,178],"relevant":[15,99],"samples":[16,102],"from":[17,41],"the":[18,28,49,110,131,141,159,174,176],"input":[19],"data":[20,32],"and":[21,44,77,87,101,121,126,151,162],"make":[22],"reliable":[23],"probabilistic":[24,84],"predictions.":[25],"However,":[26],"in":[27],"presence":[29],"high-dimensional":[31],"with":[33],"irrelevant":[34,53],"features,":[35],"traditional":[36],"sparse":[37,63],"classifiers":[39],"suffer":[40],"performance":[42,142,150,161],"degradation":[43],"low":[45],"efficiency":[46],"due":[47],"to":[48,96,108,117],"incapability":[50],"eliminating":[52],"features.":[54],"To":[55],"tackle":[56],"this":[57],"problem,":[58],"we":[59,157],"propose":[60],"novel":[62],"embedded":[65],"feature":[66,78,85,154,179],"selection":[67,86,180],"adopts":[70],"truncated":[71],"Gaussian":[72],"distributions":[73],"as":[74],"both":[75],"sample":[76],"priors.":[79],"The":[80],"proposed":[81],"algorithm,":[82],"called":[83],"classification":[88,104,149],"vector":[89],"machine":[90],"(PFCVM":[91],"LP":[92,145,170],")":[93],"able":[95],"simultaneously":[97],"select":[98],"features":[100],"for":[103,153,168],"tasks.":[105],"In":[106],"order":[107],"derive":[109,163],"analytical":[111],"solutions,":[112],"Laplace":[113],"approximation":[114],"applied":[116],"compute":[118],"approximate":[119],"posteriors":[120],"marginal":[122],"likelihoods.":[123],"Finally,":[124,156],"parameters":[125],"hyperparameters":[127],"are":[128],"optimized":[129],"by":[130],"type-II":[132],"maximum":[133],"likelihood":[134],"method.":[135],"Experiments":[136],"on":[137],"three":[138],"datasets":[139],"validate":[140],"PFCVM":[144,169],"along":[146],"two":[147],"dimensions:":[148],"effectiveness":[152],"selection.":[155],"analyze":[158],"generalization":[160,165],"error":[166],"bound":[167],".":[171],"By":[172],"tightening":[173],"bound,":[175],"importance":[177],"demonstrated.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2021-02-01T00:00:00"}