3 papers
cs.LG2018
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
We propose an experimental comparison between Deep Echo State Networks (DeepESNs) and gated Recurrent Neural Networks (RNNs) on multivariate time-series prediction tasks. In partic…
cs.LG2018
Deep Echo State Networks for Diagnosis of Parkinson's Disease
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
In this paper, we introduce a novel approach for diagnosis of Parkinson's Disease (PD) based on deep Echo State Networks (ESNs). The identification of PD is performed by analyzing…
cs.LG2017
Hierarchical Temporal Representation in Linear Reservoir Computing
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Recently, studies on deep Reservoir Computing (RC) highlighted the role of layering in deep recurrent neural networks (RNNs). In this paper, the use of linear recurrent units allow…