Deep transfer learning for classification of time-delayed Gaussian networks

In this paper, we propose deep transfer learning for classifcation of Gaussian networks with time-delayed regulations. To ensure robust signaling, most real world problems from related domains have inherent alternate pathways that can be learned incrementally from a stable form of the baseline. In t...

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Bibliographic Details
Main Authors: Chaturvedi, Iti, Ong, Yew Soon, Arumugam, R. V.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/82815
http://hdl.handle.net/10220/40335
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Institution: Nanyang Technological University
Language: English
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