Di � usion of Credit in Markovian Models
نویسندگان
چکیده
This paper studies the problem of di usion in Markovian models such as hidden Markov models HMMs and how it makes very di cult the task of learning of long termdependencies in sequences Using results from Markov chain theory we show that the problem of di usion is reduced if the transition probabilities approach or Under this condition standard HMMs have very limited modeling capabilities but input output HMMs can still perform interesting computations
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