Knowledge-integrated autoencoder model

Data encoding is a common and central operation in most data analysis tasks. The performance of other models downstream in the computational process highly depends on the quality of data encoding. One of the most powerful ways to encode data is using the neural network AutoEncoder (AE) architecture....

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Bibliographic Details

Published in:	Expert systems with applications Vol. 252; p. 124108
Main Authors:	Lazebnik, Teddy, Simon-keren, Liron
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.10.2024
Subjects:	Biologically-inspired loss function Data-driven encoding Expert-driven model Expert-driven model Biologically-inspired loss function Data-driven encoding
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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