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Bayesian online algorithms for learning in discrete Hidden Markov Models

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Figure

Figure 1. In gray we show the manifold of the tractable distri-butions. The two-step algorithm is represented by the arrows: a)1st
Figure 2. Comparison between the learning curves of MPA(dashed line) and BOnA (circles)
Figure 3. Comparison between MPA (dashed line) and Baldi-ηChauvin (continuous lines). The values next to the curves indicateλ for the corresponding simulation

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