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Editorial for special issue on methods of optimization and their applications

... Russian Academy of Sciences from July 31 to August 6, 2017. This special issue contains some extended talks of the school-seminar, highlighting theoretical and applied results aimed to show the use of the state-of-the-art operations research methods and machine learning technologies in various applications. © 2018 [International Journal of Artificial Intelligence]. нет

Теги: editorial , machine learning , operations research , optimization
Machine learning in electric power systems adequacy assessment using Monte-Carlo method

Boyarkin D.., Krupenev D.S., Iakubovskiy D.., Sidorov D.N. Machine learning in electric power systems adequacy assessment using Monte-Carlo method // Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. ID: 8109871. P.201-205. ISBN (print): 9781538615966....

Теги: adequacy assessment , electric power systems , machine learning , monte carlo method , random forest , support vector machine , artificial intelligence , computational efficiency , decision trees , efficiency , learning systems , problem solving , support vector mach
Random forest based approach for concept drift handling

Zhukov A.V., Sidorov D.N., Foley A.M. Random forest based approach for concept drift handling // Communications in Computer and Information Science. Vol.661. 2017. P.69-77. ISBN (print): 978-3-319-52920-2; 978-3-319-52919-6. DOI: 10.1007/978-3-319-52920-2_7 Concept drift has potential in smart grid analysis because the socio-economic behaviour of consumers is not governed by the laws of physics. Likewise there are also applications in wind power forecasting. In this paper we present decision tree...

Теги: machine learning , decision tree , concept drift , ensemble learning , classification , random forest , classification (of information) , decision trees , image analysis , learning algorithms , learning systems , wind power , aggregation rules , concept drifts , empiri
Editorial for special issue on methods of optimisation and their applications

... Russian Academy of Sciences from June 30 July 6 in 2014. In this special issue, we have invited the contributors to this event to expand on their presentations and highlight theoretical results in the field and to demonstrate the use of optimisation and machine learning methods in variour applications. нет

Теги: editorial , optimisation , machine learning


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