{"id":"https://openalex.org/W186151502","doi":"https://doi.org/10.1007/978-3-642-34106-9_16","title":"The Safe Bayesian","display_name":"The Safe Bayesian","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W186151502","doi":"https://doi.org/10.1007/978-3-642-34106-9_16","mag":"186151502"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-34106-9_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-34106-9_16","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079050279","display_name":"Peter Gr\u00fcnwald","orcid":"https://orcid.org/0000-0001-9832-9936"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Peter Gr\u00fcnwald","raw_affiliation_strings":["CWI, Amsterdam and Leiden University, The Netherlands","CWI, Amsterdam and Leiden University, The Netherlands#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CWI, Amsterdam and Leiden University, The Netherlands","institution_ids":["https://openalex.org/I1341640284","https://openalex.org/I121797337"]},{"raw_affiliation_string":"CWI, Amsterdam and Leiden University, The Netherlands#TAB#","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079050279"],"corresponding_institution_ids":["https://openalex.org/I121797337","https://openalex.org/I1341640284"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.2479,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.92742291,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7258397340774536},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.65740567445755},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6409754157066345},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.5699777007102966},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5193013548851013},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5003225803375244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4784124791622162},{"id":"https://openalex.org/keywords/bayesian-experimental-design","display_name":"Bayesian experimental design","score":0.4584085941314697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.451330304145813},{"id":"https://openalex.org/keywords/bayesian-average","display_name":"Bayesian average","score":0.4378350079059601},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.42023709416389465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258397340774536},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.65740567445755},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6409754157066345},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.5699777007102966},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5193013548851013},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5003225803375244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4784124791622162},{"id":"https://openalex.org/C99173435","wikidata":"https://www.wikidata.org/wiki/Q4874469","display_name":"Bayesian experimental design","level":5,"score":0.4584085941314697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.451330304145813},{"id":"https://openalex.org/C149569020","wikidata":"https://www.wikidata.org/wiki/Q25098598","display_name":"Bayesian average","level":5,"score":0.4378350079059601},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.42023709416389465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-34106-9_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-34106-9_16","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:cwi:oai:cwi.nl:21166","is_oa":false,"landing_page_url":"https://ir.cwi.nl/pub/21166","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":"","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1460189015","https://openalex.org/W1498237217","https://openalex.org/W1505937442","https://openalex.org/W1519060350","https://openalex.org/W1543495496","https://openalex.org/W1628829797","https://openalex.org/W1965555277","https://openalex.org/W1982032418","https://openalex.org/W1988790447","https://openalex.org/W2035240728","https://openalex.org/W2043919728","https://openalex.org/W2049393399","https://openalex.org/W2078458772","https://openalex.org/W2086333522","https://openalex.org/W2095532262","https://openalex.org/W2095734615","https://openalex.org/W2101460669","https://openalex.org/W2112264820","https://openalex.org/W2117146852","https://openalex.org/W2130797782","https://openalex.org/W2139716865","https://openalex.org/W2168022998","https://openalex.org/W2611627047","https://openalex.org/W2796293253","https://openalex.org/W3037654791","https://openalex.org/W3104566134","https://openalex.org/W4248175720","https://openalex.org/W4249728363","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3085442668","https://openalex.org/W2387946515","https://openalex.org/W1980584819","https://openalex.org/W568881065","https://openalex.org/W4250043636","https://openalex.org/W2121035573","https://openalex.org/W2027102258","https://openalex.org/W1573215448","https://openalex.org/W3195526632","https://openalex.org/W1919985504"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2016-06-24T00:00:00"}
