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Hidden Semi-Markov Models by Shun-Zheng Yu

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image

bˆj(v)=nk=1Tkt=1[γt(k)(j)P[o(k)|λ]I(ot(k)=v)],

image

and

πˆj=nk=1γ0(k)(j)P[o(k)|λ],

image

subject to jiaˆij=1,dpˆj(d)=1image, and vkbj(vk)=1image, where γt(k)(j) are corresponding to the kth observation sequence.

Algorithm 3.2

Re-estimation Algorithm for Multiple ...

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