Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

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After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... two disparate algorithms could be reframed using the same underlying equation.

she realized they could be explained using the same equation. This discovery led to the development of information contrastive learning (I-Con), a framework that unifies various machine-learning ...

MIT researchers have created a periodic table that shows how more than 20 classical machine ... algorithm, called contrastive learning, and began digging deeper into the mathematics. Alshammari found ...

"The use of machine learning in fraud detection brings many advantages," said Taghi Khoshgoftaar, Ph.D., senior author and Motorola Professor in the FAU Department of Electrical Engineering and ...

Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana 47907, United States Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana 47907, ...

To further exploit the potential of conditional sampling, multi-step conditional randomized block Kaczmarz (MCRBK) algorithm is proposed, which can be readily adopted as a flexible, scalable, ...

Risk of bias was evaluated using the Quality Assessment ... support vector machine and linear regression. One study compared the classification prediction between machine learning algorithms and ...

Abstract: Poststroke depression (PSD) is a common poststroke complication. Current studies have been conducted using electroencephalograph (EEG) signals for PSD detection and have achieved some ...