AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference

AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference

Learning data representations that capture task-related features, but are invariant to nuisance variations remains a key challenge in machine learning. We introduce an automated Bayesian inference framework, called AutoBayes, that explores different graphical models linking classifier, encoder, deco...

Full description

Bibliographic Details
Main Authors: Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bayesian networks
adversarial learning
ensemble learning
brain–computer interface
electroencephalography
electromyography
Online Access:https://ieeexplore.ieee.org/document/9373307/

Internet

https://ieeexplore.ieee.org/document/9373307/

Similar Items