Figure 6
From: Parameter estimation for robust HMM analysis of ChIP-chip data
Error rate at optimal and 0.5 cutoff for increasing number of iterations. Parameter estimates obtained by the Baum-Welch algorithm (filled symbols) and Viterbi training (open symbols) improve model performance with increasing nuber of iterations. Viterbi training quickly approaches its optimal solution and initially outperforms Baum-Welch. The final model produced by the Baum-Welch algorithm provides a lower error rate than Viterbi training.