The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...
In this study, we employ Bayesian statistical methods alongside deep learning techniques to construct Friedmann–Robertson–Walker (FRW) cosmological models within the framework of f(Q) gravity. We ...
Background Conventionally, frequentist approach has been used to model health state valuation data. Recently, researchers started to explore the use of Bayesian methods in this area. Objectives This ...
Abstract: We use Markov categories to generalize the basic theory of Markov chains and hidden Markov models to an abstract setting. This comprises characterizations of hidden Markov models in terms of ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Concentrations of bioaccumulative contaminants in fish increase with their size and ...
Under certain rather prevalent conditions (driven by dynamical orbital evolution), a hierarchical triple stellar system can be well approximated, from the standpoint of orbital parameter estimation, ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely examine an innovative way of ...
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