This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

We derive the mathematical expectation of the projection error (Top left), visualize the graph of the error function under two distinct domains and analyze when this ...

I've not tried it. However, after I restored my PC everything gonna be fine ☺️ I also tried my laptop, after I noticed the Visual Studio Code environmental paths setting problems ("C:\Program Files ...

The geometry of the neural representation has been increasingly recognized as a crucial aspect of the neural code. However, how representational geometry influences ...

ABSTRACT: The purpose of this study was to address the challenges in predicting and classifying accuracy in modeling Container Dwell Time (CDT) using Artificial Neural Networks (ANN). This objective ...

Abstract: We study single-term exponential-type bounds (also known as Chernoff-type bounds) on the Gaussian error function. This type of bound is analytically the ...

ABSTRACT: To make the problems of existing high requirements of calibration tools, complex global calibration process addressed for monocular multi-view visual measurement system during measurement, ...