Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Abstract: Markov chain Monte Carlo (MCMC) methods are a cornerstone of Bayesian inference and stochastic simulation. The Metropolis-adjusted Langevin algorithm (MALA) is an MCMC method that relies on ...
A dangerous new iOS exploit discovered by Lookout Threat Labs is actively being used by both Russian threat actors, who are successfully deploying infostealer malware that can fully access the ...
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