Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations
arXiv: Neural and Evolutionary Computing, Volume abs/1804.08996, 2018.
It is a widely accepted fact that data representations intervene noticeably in machine learning tools. The more they are well defined the better the performance results are. Feature extraction-based methods such as autoencoders are conceived for finding more accurate data representations from the original ones. They efficiently perform on...More
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