Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Amazon's data center in Ashburn, Va. (Ted Shaffrey/AP) Amazon says Amazon Web Services, its cloud computer service that powers many of the internet’s most popular apps and websites, has fully ...
Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise. Neutrosophic ...
On Thursday, ESPN analyst David Hale ranked all 136 FBS football teams in tiers. Hale put BYU in the "Regression to the mean (the bad kind)" category. "If you look up and down the list of ...
Scholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has ...
Abstract: The paper proposes using alternative loss functions beyond mean squared error (MSE) for geoscience image regression tasks with neural networks. The ...
The output variable must be either continuous nature or real value. The output variable has to be a discrete value. The regression algorithm’s task is mapping input value (x) with continuous output ...
Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana, Lafayette, Louisiana 70504, United States ...
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