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 ...

Hidden Markov Genomics 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 ...

Hidden Markov Models and Their Applications Publication Trend The graph below shows the total number of publications each year in Hidden Markov Models and Their Applications.

Basic theory underlying major bioinformatics algorithms (alignment, assembly, hidden markov models) How large genomic datasets are analyzed Research and clinical applications (evolutionary and ...

A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill ...

Drought is a naturally occurring climate phenomenon that significantly affects human and environmental activity, and can be considered one of the most widespread and destructive natural disasters.