DEVDAN: Deep evolving denoising autoencoder

• Main Authors: Ashfahani, Andri, Pratama, Mahardhika, Lughofer, Edwin, Ong, Yew Soon
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Denoising Autoencoder; Data Streams
• Online Access: https://hdl.handle.net/10356/160972
• Institution: Nanyang Technological University

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