{"id":"https://openalex.org/W96862169","doi":"https://doi.org/10.3233/978-1-58603-891-5-8","title":"Bayesian Methods for Artificial Intelligence and Machine Learning","display_name":"Bayesian Methods for Artificial Intelligence and Machine Learning","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W96862169","doi":"https://doi.org/10.3233/978-1-58603-891-5-8","mag":"96862169"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-58603-891-5-8","doi":"https://doi.org/10.3233/978-1-58603-891-5-8","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-8","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"volume":null,"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-58603-891-5-8","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010820865","display_name":"Zoubin Ghahramani","orcid":"https://orcid.org/0000-0002-7464-6475","observed_orcids":["https://orcid.org/0000-0002-7464-6475"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"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":["GB","US"],"is_corresponding":true,"raw_author_name":"Ghahramani Zoubin","raw_affiliation_strings":["Department of Engineering, University of Cambridge, UK, http://learning.eng.cam.ac.uk/zoubin and Machine Learning Department, Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, UK, http://learning.eng.cam.ac.uk/zoubin and Machine Learning Department, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I241749","https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010820865"],"corresponding_institution_ids":["https://openalex.org/I241749","https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"178","issue":null,"first_page":"8","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.6015999913215637,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.6015999913215637,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.29980000853538513,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.048500001430511475,"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/bayesian-analysis","display_name":"Bayesian analysis","score":0.9290000200271606},{"id":"https://openalex.org/keywords/uncertainty-representation","display_name":"uncertainty representation","score":0.9100000262260437},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.9390000104904175}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6474234461784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.557220458984375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5228774547576904},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.513391375541687}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-58603-891-5-8","doi":"https://doi.org/10.3233/978-1-58603-891-5-8","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-8","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:generic.eprints.org:405138","doi":null,"is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/405138/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"mag:96862169","doi":null,"is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/conf/ecai/ecai2008.html#Ghahramani08","pdf_url":null,"source":{"id":"https://openalex.org/S4306418308","display_name":"European Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"European Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/978-1-58603-891-5-8","doi":"https://doi.org/10.3233/978-1-58603-891-5-8","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-8","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4229497192","https://openalex.org/W4403124167","https://openalex.org/W2621969416","https://openalex.org/W7160303328","https://openalex.org/W4408872733","https://openalex.org/W7207509348","https://openalex.org/W4402499627","https://openalex.org/W2912210833","https://openalex.org/W3003935621","https://openalex.org/W2013995997"],"abstract_inverted_index":{"Bayesian":[0,34,56,65,80,91],"methods":[1,35],"provide":[2],"a":[3,45,54],"framework":[4],"for":[5,10,16],"representing":[6],"and":[7,15,29,73,75],"manipulating":[8],"uncertainty,":[9],"learning":[11,72],"from":[12],"noisy":[13],"data,":[14],"making":[17],"decisions":[18],"that":[19],"maximize":[20],"expected":[21],"utility----components":[22],"which":[23],"are":[24],"important":[25],"to":[26,52,70],"both":[27],"AI":[28],"Machine":[30],"Learning.":[31],"However,":[32],"although":[33],"have":[36],"become":[37],"more":[38],"popular":[39],"in":[40,64,95],"recent":[41],"years,":[42],"there":[43],"remains":[44],"good":[46],"degree":[47],"of":[48,98],"skepticism":[49],"with":[50],"respect":[51],"taking":[53],"fully":[55],"approach.":[57],"This":[58],"talk":[59],"will":[60,83],"introduce":[61],"fundamental":[62],"topics":[63],"statistics":[66],"as":[67],"they":[68],"apply":[69],"machine":[71,92],"AI,":[74],"address":[76],"some":[77,86],"misconceptions":[78],"about":[79],"approaches.":[81],"I":[82],"then":[84],"discuss":[85],"current":[87],"work":[88],"on":[89],"non-parametric":[90],"learning,":[93],"particularly":[94],"the":[96],"area":[97],"unsupervised":[99],"learning.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2016-06-24T00:00:00"}
