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• W2238738994 abstract "In this paper we develop ensemble method based on multivariate decompositions taken from blind signal separation techniques. The main idea is to decompose prediction result into constructive and destructive (noises) components. Elimination of the noises from predictions should improve final prediction. One of the key issues in this method is the correct classification and distinction between destructive and constructive components, what provide to random noise detection problem. It can be interpreted in terms of signal similarity, in which the Bose-Einstein divergence can be applied." @default.
• W2238738994 created "2016-06-24" @default.
• W2238738994 creator A5022426516 @default.
• W2238738994 date "2013-01-01" @default.
• W2238738994 modified "2023-09-27" @default.
• W2238738994 title "Noise Identification in Multivariate Time Series Modelling with Divergence Approach" @default.
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• W2238738994 doi "https://doi.org/10.1007/978-3-642-40823-6_26" @default.
• W2238738994 hasPublicationYear "2013" @default.
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