This project focuses on solving a cost-sensitive Binary Classification problem within the financial sector. The primary objective is to build a Logistic Regression model to predict whether a customer ...

Abstract: Ensuring the positive definiteness and avoiding ill conditioning of the Hessian update in the stochastic Broyden–Fletcher–Goldfarb–Shanno (BFGS) method are significant in solving nonconvex ...

Abstract: In this paper, a novel nonlinear technique for hyperspectral image (HSI) classification is proposed. Our approach relies on sparsely representing a test sample in terms of all of the ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

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Research on global human identification is of growing interest among researchers, practitioners, and the general population (for a review see McFarland et al., 2019). With many issues requiring global ...

The development of oral and written language is critical to meet the demands and challenges of contemporary societies. Unfortunately, many children do not master language skills, and language ...