DEVDAN: Deep Evolving Denoising Autoencoder

8 Oct 2019Andri AshfahaniMahardhika PratamaEdwin LughoferYew Soon Ong

The Denoising Autoencoder (DAE) enhances the flexibility of the data stream method in exploiting unlabeled samples. Nonetheless, the feasibility of DAE for data stream analytic deserves an in-depth study because it characterizes a fixed network capacity that cannot adapt to rapidly changing environments... (read more)

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