{"id":"https://openalex.org/W2072115735","doi":"https://doi.org/10.1109/isda.2012.6416651","title":"Weighted naïve Bayes classifier on categorical features","display_name":"Weighted naïve Bayes classifier on categorical features","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2072115735","doi":"https://doi.org/10.1109/isda.2012.6416651","mag":"2072115735"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2012.6416651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2012.6416651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071124770","display_name":"Kazuhiro Omura","orcid":"https://orcid.org/0000-0002-4337-4745"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Omura","raw_affiliation_strings":["Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078972540","display_name":"Mineichi Kudo","orcid":"https://orcid.org/0000-0003-1013-3870"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mineichi Kudo","raw_affiliation_strings":["Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100991381","display_name":"Tomomi Endo","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomomi Endo","raw_affiliation_strings":["Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110512145","display_name":"Tetsuya Murai","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Murai","raw_affiliation_strings":["Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Division of Computer Science Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.7805,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69997468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"865","last_page":"870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9865000247955322,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9865000247955322,"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/T10057","display_name":"Face and Expression Recognition","score":0.9628999829292297,"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/T10320","display_name":"Neural Networks and Applications","score":0.9064000248908997,"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/discriminative-model","display_name":"Discriminative model","score":0.7517494559288025},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7393689155578613},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7177133560180664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6937839984893799},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.6909687519073486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134742498397827},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5198050737380981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5190423130989075},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4956923723220825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45342162251472473},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4515969157218933},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42732787132263184},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.2920551300048828},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.28208011388778687},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21140122413635254},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20257318019866943}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7517494559288025},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7393689155578613},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7177133560180664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6937839984893799},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.6909687519073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134742498397827},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5198050737380981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5190423130989075},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4956923723220825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45342162251472473},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4515969157218933},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42732787132263184},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.2920551300048828},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.28208011388778687},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21140122413635254},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20257318019866943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2012.6416651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2012.6416651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W2024652682","https://openalex.org/W2125055259","https://openalex.org/W2171665309","https://openalex.org/W2550120957","https://openalex.org/W2949661619","https://openalex.org/W3112020351","https://openalex.org/W6684989136","https://openalex.org/W6729655034"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W4313594289"],"abstract_inverted_index":{"Recently":[0],"we":[1,20,51,74],"face":[2],"classification":[3],"problems":[4],"with":[5],"many":[6],"categorical":[7,49],"features,":[8],"as":[9,125],"seen":[10],"in":[11,29,47,59,71,95],"genetic":[12],"data":[13,144],"and":[14,97,121,145],"text":[15],"data.":[16,148],"In":[17],"this":[18],"paper,":[19],"discuss":[21],"some":[22,146],"ways":[23],"to":[24],"give":[25],"weights":[26,120,141],"on":[27],"features":[28,117],"the":[30,60,64,85,88,92,101,106,126,134],"framework":[31],"of":[32,41,66,68,78,128,136,140],"na\u00efve":[33],"Bayes":[34],"classifier,":[35],"that":[36,87,114],"is,":[37],"under":[38],"independent":[39],"assumption":[40],"features.":[42],"Because":[43],"no":[44],"order":[45],"exists":[46],"a":[48,53],"feature,":[50],"consider":[52],"histogram":[54],"over":[55],"possible":[56],"values":[57],"(bins)":[58],"feature.":[61],"Taking":[62],"into":[63],"difference":[65],"number":[67,127],"samples":[69,129],"falling":[70],"each":[72],"bin,":[73],"propose":[75],"two":[76,138],"kinds":[77,139],"weights:":[79],"1)":[80],"one":[81],"is":[82],"derived":[83],"from":[84],"probability":[86],"majority":[89,93],"class":[90],"takes":[91],"even":[94],"samples,":[96],"2)":[98],"another":[99],"reflects":[100],"expected":[102],"conditional":[103],"entropy.":[104],"With":[105],"latter":[107],"entropy":[108],"weight,":[109],"it":[110],"will":[111],"be":[112],"shown":[113],"more":[115],"discriminative":[116],"gain":[118],"higher":[119],"non-discriminative":[122],"feature":[123],"diminishes":[124],"goes":[130],"infinity.":[131],"We":[132],"reveal":[133],"properties":[135],"these":[137],"through":[142],"artificial":[143],"real-life":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}