This paper deals with the machine learning model as a framework of regularized loss
minimization problem in order to obtain a generalized model. Recently, some studies have …

Abstract The Support Vector Machine (SVM) is a cornerstone of machine learning
algorithms. This paper proposes a novel cost-sensitive model to address the challenges of …

This paper deals with fuzzy logic controllers. Our interest is in studying different techniques
of defuzzification methods. In particular, we propose a generalization of the WABL method to …

In this study, we propose a supervised learning problem to differentiate genuine from fake
banknotes. The problem is reformulated as a regularized optimization problem whose …

Predicting water quality accurately is critically important in real-life water resource
management. This work proposes an approach based on supervised machine learning to …

This manuscript presents a predictive model using supervised machine learning,
highlighting the importance of advanced optimization algorithms. Our approach focuses on a …

This paper deals with a machine-learning model arising from the healthcare sector, namely
diabetes progression. The model is reformulated into a regularized optimization problem …

This work addresses the supervised learning problem using a smooth and accurate
approximation of the absolute loss function. The supervised learning problem is …

The heart is the second most important organ of the human body after the brain, and it
circulates blood and supplies all of the body's organs. Diseases associated with the heart …

Entity Resolution is the task of mapping the records within a database to their corresponding
entities. The entity resolution problem presents a lot of challenges because of the absence …