Gallery
HMM State Diagram
Forward-Backward Probabilities (alpha/beta)
Parameter Convergence
Log-Likelihood over Iterations

Baum-Welch Algorithm

EM-based HMM parameter estimation with forward-backward probabilities

Iteration
0
Log-Likelihood
-
Seq Length
20
Converged
No
20

E-Step: Forward-Backward

Compute alpha (forward) and beta (backward) probabilities. These give the probability of being in each state at each time step.

M-Step: Re-estimation

Update transition (A) and emission (B) probabilities using expected counts from gamma and xi statistics.