{"id":"https://openalex.org/W105113360","doi":"https://doi.org/10.1007/978-3-642-22140-8_19","title":"On the Problem of Prediction","display_name":"On the Problem of Prediction","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W105113360","doi":"https://doi.org/10.1007/978-3-642-22140-8_19","mag":"105113360"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-22140-8_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-22140-8_19","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":"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/A5037118155","display_name":"Evgenii Vityaev","orcid":"https://orcid.org/0000-0002-5651-6781"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]},{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]},{"id":"https://openalex.org/I4210096862","display_name":"Sobolev Institute of Mathematics","ror":"https://ror.org/00shc0s02","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I1313323035","https://openalex.org/I4210096862","https://openalex.org/I4210124601","https://openalex.org/I4210127387"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Evgenii Vityaev","raw_affiliation_strings":["Novosibirsk State University, Russia","Sobolev Institute of Mathematics, Russian Academy of Sciences, Koptyug prospect 4, Novosibirsk, 630090, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Novosibirsk State University, Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Sobolev Institute of Mathematics, Russian Academy of Sciences, Koptyug prospect 4, Novosibirsk, 630090, Russia","institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I4210096862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084234755","display_name":"Stanislav Smerdov","orcid":null},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Stanislav Smerdov","raw_affiliation_strings":["Novosibirsk State University, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Novosibirsk State University, Russia","institution_ids":["https://openalex.org/I188973947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037118155"],"corresponding_institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I188973947","https://openalex.org/I4210096862"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2696,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.43733178,"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":"280","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","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/T11010","display_name":"Logic, Reasoning, and Knowledge","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/T10215","display_name":"Semantic Web and Ontologies","score":0.9968000054359436,"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":0.9937999844551086,"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/inference","display_name":"Inference","score":0.8002160787582397},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7416535019874573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735762894153595},{"id":"https://openalex.org/keywords/probabilistic-logic-network","display_name":"Probabilistic logic network","score":0.7199219465255737},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6622141003608704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589985251426697},{"id":"https://openalex.org/keywords/rule-of-inference","display_name":"Rule of inference","score":0.5538665652275085},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4706914722919464},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43287771940231323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4287932217121124},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.42586755752563477},{"id":"https://openalex.org/keywords/fiducial-inference","display_name":"Fiducial inference","score":0.42383015155792236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3702687621116638},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.22356587648391724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22005784511566162},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.17495375871658325},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.16104817390441895},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12660008668899536},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.06950381398200989}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8002160787582397},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7416535019874573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735762894153595},{"id":"https://openalex.org/C18998212","wikidata":"https://www.wikidata.org/wiki/Q7246856","display_name":"Probabilistic logic network","level":5,"score":0.7199219465255737},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6622141003608704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589985251426697},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.5538665652275085},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4706914722919464},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43287771940231323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4287932217121124},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.42586755752563477},{"id":"https://openalex.org/C95167961","wikidata":"https://www.wikidata.org/wiki/Q4483495","display_name":"Fiducial inference","level":5,"score":0.42383015155792236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3702687621116638},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.22356587648391724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22005784511566162},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.17495375871658325},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.16104817390441895},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12660008668899536},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.06950381398200989},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C3845977","wikidata":"https://www.wikidata.org/wiki/Q4826262","display_name":"Autoepistemic logic","level":4,"score":0.0},{"id":"https://openalex.org/C203659156","wikidata":"https://www.wikidata.org/wiki/Q6934805","display_name":"Multimodal logic","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-22140-8_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-22140-8_19","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":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W14512847","https://openalex.org/W123421303","https://openalex.org/W604447776","https://openalex.org/W1486970820","https://openalex.org/W1541713280","https://openalex.org/W1569027050","https://openalex.org/W1589983432","https://openalex.org/W1627277348","https://openalex.org/W1965552673","https://openalex.org/W1989319129","https://openalex.org/W1992842180","https://openalex.org/W1996270497","https://openalex.org/W2052879098","https://openalex.org/W2059634082","https://openalex.org/W2078843353","https://openalex.org/W2331882697","https://openalex.org/W2340233073","https://openalex.org/W2523440281","https://openalex.org/W2794048818","https://openalex.org/W2914728526","https://openalex.org/W4246269207","https://openalex.org/W4252715808"],"related_works":["https://openalex.org/W1532795830","https://openalex.org/W4295109473","https://openalex.org/W2952794851","https://openalex.org/W2150122081","https://openalex.org/W2964019924","https://openalex.org/W1481329837","https://openalex.org/W3021349955","https://openalex.org/W105113360","https://openalex.org/W1854944386","https://openalex.org/W1221614779"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
