Abstract: In this paper, we propose two new algorithms for maximum-likelihood estimation (MLE) of high dimensional sparse covariance matrices. Unlike most of the state-of-the-art methods, which either ...

HBAR price prediction – Hedera Hashgraph (HBAR) is a cryptocurrency that enjoyed the bullish crypto market of 2021, alongside ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Abstract: Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of one-class classifiers boils down ...

Many computational or high-throughput wet-lab analyses of genomes identify chromosome locations that have some biological function or property. We may then want to search for dense clusters of such ...

Quantum annealers can be used to solve many (possibly NP-hard) combinatorial optimization problems, by formulating them as quadratic unconstrained binary optimization (QUBO) problems or, equivalently, ...

This is a modified version of the classic checkers game created for academic purposes as a project for the AI Laboratory. The game introduces unique features, including vertical piece movements , ...