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 ...
Abstract: In multi-target tracking (MTT), the presence of heavy-tailed noise can significantly degrade tracking accuracy, which is critical in Integrated Sensing and Communication (ISAC) systems. To ...
Abstract: This work develops a novel framework for the performance evaluation of communication systems with receive diversity, in which the probability density function (PDF) statistic is formulated ...
Uni-President China is the second-largest producer of instant noodles and ready-to-drink, or RTD, tea in China. The company underwent a period of fast revenue growth in the early 2010s and has ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...
This repository contains the research paper and code related to Uniform Convergence of Lipschitz Functions with Dependent Gaussian Samples. The work provides theoretical bounds for learning Lipschitz ...
The Wald distribution (also known as the inverse Gaussian distribution) is a positively skewed unimodal distribution commonly used to model response time data (Anders, Alario, & Van Maanen, 2016; ...
Department of Basic Science, Nippon Veterinary and Life Science University, Tokyo, Japan. According to the uncertainty principle, the motion of the single electron in the 1s orbit of a hydrogen atom ...
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