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Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
The analysis is performed in terms of efficiency and prediction accuracy on 4 polyphonic music tasks.
Deep Echo State Networks for Diagnosis of Parkinson's Disease
In this paper, we introduce a novel approach for diagnosis of Parkinson's Disease (PD) based on deep Echo State Networks (ESNs).
Hierarchical Temporal Representation in Linear Reservoir Computing
Recently, studies on deep Reservoir Computing (RC) highlighted the role of layering in deep recurrent neural networks (RNNs).
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