Titlebook: Modellprädiktive Regelung nichtlinearer Systeme mit Unsicherheiten; Andreas Völz Book 2016 Springer Fachmedien Wiesbaden GmbH 2016 Nichtli

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A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Timlysis interpretable methods are of prime importance. This paper presents analytical approaches in a framework for interpretable anomaly detection and classification of multivariate time series for human gait analysis. We exemplify the application utilizing a real-world medical dataset in the biomechanical orthopedics domain.

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Advances in Solid State Physicsnoticeable in countries which have embraced New Public Management as a strategy of administrative reform (Peters, 2001).. In Britain, Mrs Thatcher staged a campaign to ‘deprivilege’ the public service (Hood, 1995) and in Canada, Prime Minister Mulroney pledged to provide civil servants with ‘pink sl

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Abdon Atanganalthough it attracts numerous attentions in both theory and computation, we still encounter many difficulties in real applications. For instance, in a real data set, we may have various missing values. To correctly adopt the LASSO, we have to incorporate the missing data mechanism, or the propensity,

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