A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class Abstract: This paper proposes a new cost function for supervised training of neural ...

Hinge loss is another cost function that is mostly used in Support Vector Machines (SVM) for classification. Let us see how it works in case of binary SVM classification. To work with hinge loss, the ...

The packages contains two main functions, TUBE and TUBEc, corresponding to the TUBE-assisted or TUBEc-assisted cost-sensitive classification paradigms decribed in the manuscript. To use either ...

Loss functions drive the optimization of machine learning algorithms. The choice of a loss function can have a significant impact on the training of a model, and how the model learns the data. Binary ...