27 citations · 48 across the 6 of their papers we have counts for
3 papers · 1 filter
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination
Yuanhao Li, Badong Chen, Okito Yamashita +2
Sparseness and robustness are two important properties for many machine learning scenarios. In the present study, regarding the maximum correntropy criterion (MCC) based robust reg…
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding
Yuanhao Li, Badong Chen, Yuxi Shi +2
Recent studies have utilized sparse classifications to predict categorical variables from high-dimensional brain activity signals to expose human's intentions and mental states, se…
Restricted Minimum Error Entropy Criterion for Robust Classification
Yuanhao Li, Badong Chen, Natsue Yoshimura +1
The minimum error entropy (MEE) criterion has been verified as a powerful approach for non-Gaussian signal processing and robust machine learning. However, the implementation of ME…