Semi-Supervised Minimum Error Entropy Principle with Distributed Method

Semi-Supervised Minimum Error Entropy Principle with Distributed Method

The minimum error entropy principle (MEE) is an alternative of the classical least squares for its robustness to non-Gaussian noise. This paper studies the gradient descent algorithm for MEE with a semi-supervised approach and distributed method, and shows that using the additional information of un...

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Bibliographic Details
Main Authors: Baobin Wang, Ting Hu
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Entropy
Subjects:
information theoretical learning
distributed method
MEE algorithm
semi-supervised approach
gradient descent
reproducing kernel Hilbert spaces
Online Access:https://www.mdpi.com/1099-4300/20/12/968

Internet

https://www.mdpi.com/1099-4300/20/12/968

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