{"id":"https://openalex.org/W1572036098","doi":"https://doi.org/10.1007/3-540-44652-4_15","title":"Mixtures of Truncated Exponentials in Hybrid Bayesian Networks","display_name":"Mixtures of Truncated Exponentials in Hybrid Bayesian Networks","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1572036098","doi":"https://doi.org/10.1007/3-540-44652-4_15","mag":"1572036098"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-44652-4_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44652-4_15","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/A5008393074","display_name":"Seraf\u0131\u0301n Moral","orcid":"https://orcid.org/0000-0002-5555-0857"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Seraf\u00edn Moral","raw_affiliation_strings":["Dpt. Computer Science and Artificial Intelligence, University of Granada, Avda. Andaluc\u00eda 38, 18071, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Dpt. Computer Science and Artificial Intelligence, University of Granada, Avda. Andaluc\u00eda 38, 18071, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050934335","display_name":"Rafael Rum\u00ed","orcid":"https://orcid.org/0000-0001-9189-5468"},"institutions":[{"id":"https://openalex.org/I52354020","display_name":"University of Almer\u00eda","ror":"https://ror.org/003d3xx08","country_code":"ES","type":"education","lineage":["https://openalex.org/I52354020"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Rumi","raw_affiliation_strings":["Dpt. Statistics and Applied Mathematics, University of Almer\u00eda, La Ca\u00f1ada de San Urbano s/n, 04120, Almer\u00eda, Spain"],"affiliations":[{"raw_affiliation_string":"Dpt. Statistics and Applied Mathematics, University of Almer\u00eda, La Ca\u00f1ada de San Urbano s/n, 04120, Almer\u00eda, Spain","institution_ids":["https://openalex.org/I52354020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046555644","display_name":"Antonio Salmer\u00f3n","orcid":"https://orcid.org/0000-0003-4982-8725"},"institutions":[{"id":"https://openalex.org/I52354020","display_name":"University of Almer\u00eda","ror":"https://ror.org/003d3xx08","country_code":"ES","type":"education","lineage":["https://openalex.org/I52354020"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Salmer\u00f3n","raw_affiliation_strings":["Dpt. Statistics and Applied Mathematics, University of Almer\u00eda, La Ca\u00f1ada de San Urbano s/n, 04120, Almer\u00eda, Spain"],"affiliations":[{"raw_affiliation_string":"Dpt. Statistics and Applied Mathematics, University of Almer\u00eda, La Ca\u00f1ada de San Urbano s/n, 04120, Almer\u00eda, Spain","institution_ids":["https://openalex.org/I52354020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008393074"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.0508,"has_fulltext":false,"cited_by_count":208,"citation_normalized_percentile":{"value":0.87869004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9911999702453613,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6810116171836853},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6336996555328369},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6310393810272217},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6151248812675476},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5886353254318237},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.581935465335846},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5701681971549988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5375070571899414},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.5301640629768372},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4914337396621704},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.4889320433139801},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46103835105895996},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4534774124622345},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.42780405282974243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28118371963500977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2532309293746948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12907177209854126},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12046939134597778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810116171836853},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6336996555328369},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6310393810272217},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6151248812675476},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5886353254318237},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.581935465335846},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5701681971549988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5375070571899414},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.5301640629768372},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4914337396621704},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.4889320433139801},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46103835105895996},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4534774124622345},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.42780405282974243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28118371963500977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2532309293746948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12907177209854126},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12046939134597778},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-44652-4_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44652-4_15","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W111380827","https://openalex.org/W1549899114","https://openalex.org/W1593793857","https://openalex.org/W1901420645","https://openalex.org/W1978304080","https://openalex.org/W2046584898","https://openalex.org/W2062122868","https://openalex.org/W2078712199","https://openalex.org/W2079796986","https://openalex.org/W2083719729","https://openalex.org/W2093976733","https://openalex.org/W2147565737","https://openalex.org/W2147632348","https://openalex.org/W2150554014","https://openalex.org/W4205844716","https://openalex.org/W4233358567","https://openalex.org/W4234055719","https://openalex.org/W4251251362"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W2903098718","https://openalex.org/W32534769","https://openalex.org/W4226134799","https://openalex.org/W2734666369","https://openalex.org/W2076510709","https://openalex.org/W590314900","https://openalex.org/W1980843701","https://openalex.org/W2348085968"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":21}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
