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 ...
The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...
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Neuroscientists uncover how the brain builds a unified reality from fragmented predictions
A new study provides evidence that the human brain constructs our seamless experience of the world by first breaking it down ...
Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent combination ...
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