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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3520389
Abstract: Stochastic gradient descent (SGD) and exponentiated gradient (EG) update methods are widely used in signal processing and machine learning. This study introduces a novel family of generalized Exponentiated Gradient updates (EGAB) derived from the alpha-beta…
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Keywords:
portfolio selection;
exponentiated gradient;
gradient;
generalized exponentiated ... See more keywords
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Published in 2023 at "Complexity"
DOI: 10.1155/2023/2196572
Abstract: Statistical probability distributions are commonly used by data analysts and statisticians to describe and analyze their data. It is possible in many situations that data would not fit the existing classical distributions. A new distribution…
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Keywords:
generalized exponentiated;
exponentiated chet;
chet weibull;
distribution ... See more keywords