Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The distribution of an arbitrary linear combination of Student-t random variables with odd degrees of freedom is derived. An easy method of expressing this distribution as a mixture of t-distributions ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

Abstract: Utilizing deep learning techniques for spacecraft pose estimation enables using low-cost sensors like monocular cameras. However, the existing methods have drawbacks, such as complex models ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Erika Rasure is globally-recognized as a leading consumer economics ...

This code has been tested with Python 3.6, PyTorch 1.0 and CUDA 9.0 on Ubuntu 16.04. and visualize your training progress by accessing https://localhost:8964 on you browser. We provide the learning ...

† The Laboratory of Energy and Environment Application Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China ‡ The Laboratory of Thermal Energy and Power Engineering, ...