Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Viscosity is a vital quality-control parameter across a wide range of industries, especially in petroleum, where it provides essential insights into everything from crude oil to refined products.
Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.
密度行列埋め込み理論(DMET)とサンプルベースの量子対角化手法(SQD)を組合せ、分子物性計算を実施。41, 89量子ビットの全分子計算をそれぞれ27, 32量子ビットの活性領域シミュレーションに ...
After evaluating a few different checkpoints during training, I found that the checkpoint with the best validation loss, didn't necessarily produce the best result when rolled out on the robot.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Flexibility is essential for many proteins to function, but can be difficult to ...
Abstract: Many modern neural networks use histograms to efficiently model continuous random variables. This implies that the parametric space of the multinomial distribution is easier for training ...
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