{"id":"https://openalex.org/W3184679","doi":"https://doi.org/10.1007/978-3-642-31724-8_21","title":"Minimax Regret Capacity Identification","display_name":"Minimax Regret Capacity Identification","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W3184679","doi":"https://doi.org/10.1007/978-3-642-31724-8_21","mag":"3184679"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-31724-8_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-31724-8_21","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"Communications in Computer and Information 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/A5085291052","display_name":"Mikhail Timonin","orcid":null},"institutions":[{"id":"https://openalex.org/I887846188","display_name":"Moscow Engineering Physics Institute","ror":"https://ror.org/04w8z7f34","country_code":"RU","type":"education","lineage":["https://openalex.org/I887846188"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Mikhail Timonin","raw_affiliation_strings":["National Nuclear Research University MEPhI, 31 Kashirskoe Shosse, Moscow, 115409, Russian Federation"],"affiliations":[{"raw_affiliation_string":"National Nuclear Research University MEPhI, 31 Kashirskoe Shosse, Moscow, 115409, Russian Federation","institution_ids":["https://openalex.org/I887846188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085291052"],"corresponding_institution_ids":["https://openalex.org/I887846188"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0020092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"198","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9789000153541565,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9789000153541565,"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":0.9782999753952026,"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/T11236","display_name":"Control Systems and Identification","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/regret","display_name":"Regret","score":0.8777999877929688},{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.8020339608192444},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.7024664282798767},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6471750140190125},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5996556878089905},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5783153772354126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4774071276187897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46470963954925537},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.43914008140563965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4216262698173523},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3514143228530884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26089155673980713},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14182725548744202},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09585747122764587}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8777999877929688},{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.8020339608192444},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7024664282798767},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6471750140190125},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5996556878089905},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5783153772354126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4774071276187897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46470963954925537},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.43914008140563965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4216262698173523},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3514143228530884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26089155673980713},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14182725548744202},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09585747122764587},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-31724-8_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-31724-8_21","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"Communications in Computer and Information 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":25,"referenced_works":["https://openalex.org/W277492470","https://openalex.org/W1498671329","https://openalex.org/W1548865516","https://openalex.org/W1562353621","https://openalex.org/W1984753319","https://openalex.org/W1991679101","https://openalex.org/W2008818676","https://openalex.org/W2012928462","https://openalex.org/W2017449401","https://openalex.org/W2020246109","https://openalex.org/W2035171979","https://openalex.org/W2049637061","https://openalex.org/W2057191893","https://openalex.org/W2067477904","https://openalex.org/W2075887074","https://openalex.org/W2086266444","https://openalex.org/W2088027157","https://openalex.org/W2131462176","https://openalex.org/W2168743349","https://openalex.org/W2736301538","https://openalex.org/W2795495912","https://openalex.org/W2798261169","https://openalex.org/W3122552476","https://openalex.org/W4246506621","https://openalex.org/W4300576158"],"related_works":["https://openalex.org/W4376155396","https://openalex.org/W2971351794","https://openalex.org/W1947085858","https://openalex.org/W2101991911","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}