Estimation with Uncertainty via Conditional Generative Adversarial Networks

Estimation with Uncertainty via Conditional Generative Adversarial Networks

Conventional predictive Artificial Neural Networks (ANNs) commonly employ deterministic weight matrices; therefore, their prediction is a point estimate. Such a deterministic nature in ANNs causes the limitations of using ANNs for medical diagnosis, law problems, and portfolio management in which no...

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Bibliographic Details
Main Authors: Minhyeok Lee, Junhee Seok
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
generative adversarial network
deep learning
adversarial learning
probability estimation
risk estimation
portfolio management
Online Access:https://www.mdpi.com/1424-8220/21/18/6194

Internet

https://www.mdpi.com/1424-8220/21/18/6194

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