A Brief History: Who Developed Hidden Markov Models (HMMs)? Hidden Markov Models were introduced in the 1960s by Leonard E. Baum and colleagues. These models have become pivotal in various industries, from speech recognition to bioinformatics, thanks to their adaptability …
The Backward Phase, a vital component of Hidden Markov Models (HMMs), decodes sequential data by calculating the likelihood of observed sequences. Widely applied in fields like transportation, healthcare, and environmental science, it ensures high accuracy in predictive modelling.
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