Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout

DOI10.1162/NECO_a_00253zbMath1397.68158WikidataQ50978335 ScholiaQ50978335MaRDI QIDQ2919400

Sanjeev R. Kulkarni, Dmitriy Shutin, Christoph Zechner, H. Vincent Poor

Publication date: 2 October 2012

Published in: Neural Computation (Search for Journal in Brave)

zbMATH Keywords

Bayesian learningecho state networksBayesian space-alternating generalized expectation-maximization algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Readouts for echo-state networks built using locally regularized orthogonal forward regression

Cites Work

• Unnamed Item
• Reservoir computing approaches to recurrent neural network training
• Echo state networks with filter neurons and a delay\&sum readout
• An experimental unification of reservoir computing methods
• Parameter estimation of superimposed signals using the EM algorithm
• 10.1162/15324430152748236
• Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels
• Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals