Extracting Explainable Deep Representation for Machine Tutoring

In this work, we propose a machine tutoring framework through a modified Adversarial AutoEncoder(AAE) for Interactive Machine Learning(IML). In IML, masters can teach machines for valuable knowledge and skills and machines can transfer such knowledge and skills to novices. Generally in IML, we can d...

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Bibliographic Details

Published in:	2019 IEEE International Conference on Big Data (Big Data) pp. 4651 - 4658
Main Authors:	Wang, Ming-Chen, Golderzahi, Vahid, Pao, Hsing-Kuo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2019
Subjects:	Adversarial Autoencoder (AAE) Cats Deep representation Games Interactive Machine Learning (IML) Internal Measurement Unit (IMU) Knowledge transfer Machine learning Machine tutoring Sensors Task analysis Training
Online Access:	Get full text
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