From Plato’s search for hidden forms to Bernoulli’s law of large numbers and Markov’s breakthrough on dependent events, this story traces how mathematicians discovered the patterns hidden inside ...
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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 ...
Everybody is about algorithmic processes and feed manipulation, but is that really new? What if the algorithm powering your Google search results and the predictive text on your phone originated from ...
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Markov chains are a powerful tool for modeling systems in various scientific domains, including queueing theory. These models are characterized by their ability to maintain complexity at a low level ...
Abstract: We present two novel approaches to accelerate the convergence of a class of Markov decision problems (MDPs) with stationary state space components, which iterate on reduced state and action ...