|
Correntropy Loss Function that Promotes Robust Training in Artificial Neural Networks
Algorithm Resists Outliers to Provide Accurate Data Classification for Random Sets of DataThe Correntropy Loss, or C-loss, function stabilizes signals in artificial neural networks to optimally classify random data points and resist the presence of outliers in a given sample. Artificial neural networks are statistical models that process information...
Published: 6/27/2021
|
Inventor(s): Jose Principe, Abhishek Singh
Keywords(s): classification, Data Mining, Neural networks, Robust Training
Category(s): Technology Classifications > Engineering > Computer Science
|
