Abstract: Nowadays, data-driven learning based deep neural network (DNN) is the most dominant SOTA image dehazing framework. Here, learning to perfectly simulate the underlying mapping rules (from ...
ABSTRACT: Our study focused on daily data from the Regional Stock Exchange (BRVM) covering the period from 4 January 2014 to 26 February 2025. We selected five indices, including the two main indices ...
There will be 2 written quizzes in Module I, tentatively scheduled for: Thurs, Sept 11 and Tues, Oct 7. Details will be discussed in classes leading up to exam dates. No make-up or early exams will be ...
I have data that cyclically changes (e.g temperature of a heated room) and would like to use the regression Transformation on it. The problem is that if I select the highest order possible (quintical) ...
ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...
Abstract: Genetic programming (GP) has been widely used for machine learning tasks. One of the domains where it has shown the most promise is feature space transformation, also known as feature ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...
Organizations typically undergo business transformations not only to meet strategic objectives but also to develop the critical business capabilities needed to remain agile, resilient, and sustainable ...
1 School of Digital Economy and Management, Leshan Vocational and Technical College, Leshan, China 2 Department of Accounting and Finance, University of Western Australia, Perth, WA, Australia One of ...
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