Epilepsy is one of the most common brain diseases that affect more than 1\% world's population. It characterized by recurrent seizures, which come in different types and are treated differently. Electroencephalography (EEG) commonly used medical services to diagnose seizures their types. The accurate identification helps provide optimal treatment information patient. However, manual diagnostic ...

In cases of uncertainty, a multi-class classifier preferably returns set candidate classes instead predicting single class label with little guarantee. More precisely, the should strive for an optimal balance between correctness (the true is among candidates) and precision candidates are not too many) its prediction. We formalize this problem within general decision-theoretic framework that uni...

We propose a new framework to construct the margin-based classifiers, in which the binary and multicategory classification problems are solved by the same principle; namely, margin-based classification via regularized empirical risk minimization. To build the framework, we propose the margin vector which is the multi-class generalization of the margin, then we further generalize the concept of ...

Over the last few decades, quantum machine learning has emerged as a groundbreaking discipline. Harnessing peculiarities of computation for tasks offers promising advantages. Quantum-inspired revealed how relevant benefits problems can be obtained using information theory even without employing computers. In recent past, experiments have demonstrated to design an algorithm binary classification...