{"id":"https://openalex.org/W2137123230","doi":"https://doi.org/10.1007/978-3-642-15880-3_39","title":"Expectation Propagation for Bayesian Multi-task Feature Selection","display_name":"Expectation Propagation for Bayesian Multi-task Feature Selection","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2137123230","doi":"https://doi.org/10.1007/978-3-642-15880-3_39","mag":"2137123230"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-15880-3_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_39","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2078.1/67341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003318791","display_name":"Daniel Hern\u00e1ndez-Lobato","orcid":"https://orcid.org/0000-0001-5845-437X"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Daniel Hern\u00e1ndez-Lobato","raw_affiliation_strings":["Machine Learning Group, ICTEAM institute, Universit\u00e9 catholique de Louvain, Place Sainte Barbe 2, B-1348, Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group, ICTEAM institute, Universit\u00e9 catholique de Louvain, Place Sainte Barbe 2, B-1348, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102890597","display_name":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato","orcid":"https://orcid.org/0000-0001-7610-949X"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato","raw_affiliation_strings":["Computer Science Department, Universidad Aut\u00f3noma de Madrid, C/ Francisco Tom\u00e1s y Valiente, 11, 28049, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Aut\u00f3noma de Madrid, C/ Francisco Tom\u00e1s y Valiente, 11, 28049, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067615290","display_name":"Thibault Helleputte","orcid":null},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Thibault Helleputte","raw_affiliation_strings":["Machine Learning Group, ICTEAM institute, Universit\u00e9 catholique de Louvain, Place Sainte Barbe 2, B-1348, Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group, ICTEAM institute, Universit\u00e9 catholique de Louvain, Place Sainte Barbe 2, B-1348, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030188873","display_name":"Pierre Dupont","orcid":"https://orcid.org/0000-0003-4835-6519"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pierre Dupont","raw_affiliation_strings":["Machine Learning Group, ICTEAM institute, Universit\u00e9 catholique de Louvain, Place Sainte Barbe 2, B-1348, Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group, ICTEAM institute, Universit\u00e9 catholique de Louvain, Place Sainte Barbe 2, B-1348, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003318791"],"corresponding_institution_ids":["https://openalex.org/I95674353"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.1079,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92928211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"522","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6489648818969727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633003830909729},{"id":"https://openalex.org/keywords/expectation-propagation","display_name":"Expectation propagation","score":0.6199151873588562},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5933214426040649},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.581486701965332},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5733795762062073},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5723428130149841},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.559881865978241},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5354376435279846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5204510688781738},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.507925808429718},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.482657253742218},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4659866690635681},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4452204704284668},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43117693066596985},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.42669203877449036},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.41259765625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3806164264678955},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.11384737491607666}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489648818969727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633003830909729},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.6199151873588562},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5933214426040649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.581486701965332},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5733795762062073},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5723428130149841},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.559881865978241},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5354376435279846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5204510688781738},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.507925808429718},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.482657253742218},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4659866690635681},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4452204704284668},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43117693066596985},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.42669203877449036},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.41259765625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3806164264678955},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.11384737491607666},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-642-15880-3_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_39","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.7228","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.7228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.info.ucl.ac.be/%7Epdupont/pdupont/pdf/ecml10.pdf","raw_type":"text"},{"id":"pmh:oai:dial.uclouvain.be:boreal:67341","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/67341","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:generic.eprints.org:800687","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/800687/","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,"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"}],"best_oa_location":{"id":"pmh:oai:dial.uclouvain.be:boreal:67341","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/67341","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W118074277","https://openalex.org/W144440563","https://openalex.org/W171292237","https://openalex.org/W1506806321","https://openalex.org/W1515272691","https://openalex.org/W1565746575","https://openalex.org/W1571917377","https://openalex.org/W1648445109","https://openalex.org/W1763420098","https://openalex.org/W1854866626","https://openalex.org/W1969415786","https://openalex.org/W1986275625","https://openalex.org/W2032980774","https://openalex.org/W2104924585","https://openalex.org/W2116523778","https://openalex.org/W2135046866","https://openalex.org/W2143104527","https://openalex.org/W2153491803","https://openalex.org/W2159375150","https://openalex.org/W2159400887","https://openalex.org/W2159514083","https://openalex.org/W2170989872","https://openalex.org/W2913318000","https://openalex.org/W3125904670","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2612895134","https://openalex.org/W2116723448","https://openalex.org/W2129270363","https://openalex.org/W4379933543","https://openalex.org/W1934021597","https://openalex.org/W3045699787","https://openalex.org/W1515272691","https://openalex.org/W1569946230","https://openalex.org/W3192036101","https://openalex.org/W2952240579"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
