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- W103882020 abstract "This paper presents a learning algorithm for nonlinear time series data using a Mixture of Experts (MoE) model which combines several AutoRegressive with eXogenous inputs (ARX) models to reconstruct the nonlinear time signal. The MoE model is trained using a Variational Bayesian (VB) framework based on a factorised approximation of the posterior distribution. This framework provides a natural way of selecting the number of experts required by the model, and also provides model structure determination. The usefulness of this method is demonstrated on a noisy discrete-time nonlinear Duffing oscillator system for the case when the model structure is known, and when the model structure is not known." @default.
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- W103882020 date "2014-01-01" @default.
- W103882020 modified "2023-10-14" @default.
- W103882020 title "Nonlinear Time Series Analysis Using Bayesian Mixture of Experts" @default.
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- W103882020 doi "https://doi.org/10.1007/978-3-319-04522-1_10" @default.
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