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Baum–Welch algorithm

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RESEARCH · CL_05177 · Apr 27 · 04:00

Differentiable filtering framework learns Hidden Markov Model parameters efficiently

Researchers have developed a new framework called Belief Net for learning Hidden Markov Models (HMMs). This approach uses a differentiable filtering process, treating the forward filter as a structured neural network op…

Differentiable filtering framework learns Hidden Markov Model parameters efficiently