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cs.IT2012★ 6 cited
Measuring the Influence of Observations in HMMs through the Kullback-Leibler Distance
Vittorio Perduca, Gregory Nuel
We measure the influence of individual observations on the sequence of the hidden states of the Hidden Markov Model (HMM) by means of the Kullback-Leibler distance (KLD). Namely, w…
cs.IT2011★ 1 cited
Exact Computation of Kullback-Leibler Distance for Hidden Markov Trees and Models
Vittorio Perduca, Grégory Nuel
We suggest new recursive formulas to compute the exact value of the Kullback-Leibler distance (KLD) between two general Hidden Markov Trees (HMTs). For homogeneous HMTs with regula…