What if you could predict the future, not with a crystal ball, but with math? In this guide, Veritasium explains how a 120-year-old concept called Markov chains has become a silent force shaping ...
Abstract: We propose a Markov Chain Monte Carlo (MCMC) algorithm based on Gibbs sampling with parallel tempering to solve nonlinear optimal control problems. The algorithm is applicable to nonlinear ...
Abstract: For prior-knowledge-informed scenarios, this article proposes a radar signal deinterleaving method based on hidden Markov chains and residual fence networks (RFNs) with enhanced ...
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