Markov chains provide a fundamental framework for modelling stochastic processes, where the next state depends solely on the current state. Hidden Markov models (HMMs) extend this framework by ...
Finite memory sources and variable-length Markov chains have recently gained popularity in data compression and mining, in particular, for applications in bioinformatics and language modelling. Here, ...
Asger Hobolth at North Carolina State University's Bioinformatics Research Center and his team used a hidden Markov model to estimate that chimps and humans diverged from a common ancestor only about ...
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