{"id":"https://openalex.org/W2551502986","doi":"https://doi.org/10.1109/is.2016.7737456","title":"Randomized machine learning: Statement, solution, applications","display_name":"Randomized machine learning: Statement, solution, applications","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2551502986","doi":"https://doi.org/10.1109/is.2016.7737456","mag":"2551502986"},"language":"en","primary_location":{"id":"doi:10.1109/is.2016.7737456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2016.7737456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 8th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"},"type":"article","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/A5113566225","display_name":"Yu. S. Popkov","orcid":null},"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/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Yu. S. Popkov","raw_affiliation_strings":["Institute for Systems Analysis, Federal Research Center \u201cComputer Science and Control\u201d of Russian Academy of Sciences, Moscow, Russia","Institute for Systems Analysis, Federal Research Center \"Computer Science and Control\" of Russian Academy of Sciences, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Analysis, Federal Research Center \u201cComputer Science and Control\u201d of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210115688","https://openalex.org/I1313323035"]},{"raw_affiliation_string":"Institute for Systems Analysis, Federal Research Center \"Computer Science and Control\" of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210115688","https://openalex.org/I1313323035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029681629","display_name":"Yuri A. Dubnov","orcid":null},"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"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Yu. A. Dubnov","raw_affiliation_strings":["\u201cComputer Science and Control\u201d of Russian, Academy of Sciences, Moscow, Russia","\"Computer Science and Control\" of Russian, Academy of Sciences, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"\u201cComputer Science and Control\u201d of Russian, Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I1313323035"]},{"raw_affiliation_string":"\"Computer Science and Control\" of Russian, Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034623562","display_name":"A. Yu. Popkov","orcid":"https://orcid.org/0000-0003-4039-7746"},"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/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A. Yu. Popkov","raw_affiliation_strings":["Institute for Systems Analysis, Federal Research Center \u201cComputer Science and Control\u201d of Russian Academy of Sciences, Moscow, Russia","Institute for Systems Analysis, Federal Research Center \"Computer Science and Control\" of Russian Academy of Sciences, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Analysis, Federal Research Center \u201cComputer Science and Control\u201d of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210115688","https://openalex.org/I1313323035"]},{"raw_affiliation_string":"Institute for Systems Analysis, Federal Research Center \"Computer Science and Control\" of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210115688","https://openalex.org/I1313323035"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113566225"],"corresponding_institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I4210115688"],"apc_list":null,"apc_paid":null,"fwci":1.7774,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89752766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9825000166893005,"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":0.6878349781036377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5877487659454346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5841152667999268},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5473814010620117},{"id":"https://openalex.org/keywords/statement","display_name":"Statement (logic)","score":0.5077403783798218},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4802587330341339},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.4610615670681},{"id":"https://openalex.org/keywords/computational-learning-theory","display_name":"Computational learning theory","score":0.4551740288734436},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.42966586351394653},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41152769327163696},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.2529028058052063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23491999506950378},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1321534812450409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878349781036377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5877487659454346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5841152667999268},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5473814010620117},{"id":"https://openalex.org/C2777026412","wikidata":"https://www.wikidata.org/wiki/Q2684591","display_name":"Statement (logic)","level":2,"score":0.5077403783798218},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4802587330341339},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.4610615670681},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.4551740288734436},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.42966586351394653},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41152769327163696},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2529028058052063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23491999506950378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1321534812450409},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is.2016.7737456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2016.7737456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 8th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W44155741","https://openalex.org/W639801547","https://openalex.org/W1480376833","https://openalex.org/W1496554474","https://openalex.org/W1506806321","https://openalex.org/W1509562192","https://openalex.org/W1526441817","https://openalex.org/W1549656520","https://openalex.org/W1570448133","https://openalex.org/W1607198972","https://openalex.org/W1615672776","https://openalex.org/W1965555277","https://openalex.org/W1992419399","https://openalex.org/W2014902932","https://openalex.org/W2032558547","https://openalex.org/W2034543182","https://openalex.org/W2034921015","https://openalex.org/W2049633694","https://openalex.org/W2054003925","https://openalex.org/W2082028133","https://openalex.org/W2085822197","https://openalex.org/W2100176599","https://openalex.org/W2294738752","https://openalex.org/W2302442984","https://openalex.org/W2323060695","https://openalex.org/W2761540959","https://openalex.org/W2795996653","https://openalex.org/W2801208282","https://openalex.org/W3015615342","https://openalex.org/W3020882730","https://openalex.org/W3140968660","https://openalex.org/W4234556776","https://openalex.org/W4236154462","https://openalex.org/W4238202755","https://openalex.org/W4299551239","https://openalex.org/W6675462168","https://openalex.org/W6744630728"],"related_works":["https://openalex.org/W3196155444","https://openalex.org/W4306321456","https://openalex.org/W2954428433","https://openalex.org/W3136151706","https://openalex.org/W4224009465","https://openalex.org/W3209574120","https://openalex.org/W4286629047","https://openalex.org/W4319309271","https://openalex.org/W3025582806","https://openalex.org/W3046775127"],"abstract_inverted_index":{"In":[0],"this":[1,31,86],"paper":[2],"we":[3],"propose":[4],"a":[5,75],"new":[6],"machine":[7,12,35,66],"learning":[8,36,67],"concept":[9],"called":[10],"randomized":[11,65],"learning,":[13],"in":[14],"which":[15],"model":[16],"parameters":[17,49],"are":[18,23],"assumed":[19,24],"random":[20,27,48,56],"and":[21,50,91],"data":[22,57],"to":[25,88],"contain":[26],"errors.":[28,58],"Distinction":[29],"of":[30,47,55,63,81,99],"approach":[32,87],"from":[33],"\u201cclassical\u201d":[34],"is":[37],"that":[38],"optimal":[39],"estimation":[40],"deals":[41],"with":[42],"the":[43,51,60,69,79,100],"probability":[44,53],"density":[45,54],"functions":[46],"\u201cworst\u201d":[52],"As":[59],"optimality":[61],"criterion":[62],"estimation,":[64],"employs":[68],"generalized":[70],"information":[71],"entropy":[72],"maximized":[73],"on":[74],"set":[76],"described":[77],"by":[78],"system":[80],"empirical":[82],"balances.":[83],"We":[84],"apply":[85],"text":[89],"classification":[90],"dynamic":[92],"regression":[93],"problems.":[94],"The":[95],"results":[96],"illustrate":[97],"capabilities":[98],"approach.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
