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Small-Variance Asymptotics for Hidden Markov Models
Published on 2014-11-071668 Views
Small-variance asymptotics provide an emerging technique for obtaining scalable combinatorial algorithms from rich probabilistic models. We present a small-variance asymptotic analysis of the Hidden M
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Presentation
Small-Variance Asymptotics for Hidden Markov models00:00
SVA for the Finite-State Hidden Markov Model00:50
SVA for the Infinite-State Hidden Markov Model01:44
Some Results03:01