Equivalence of hidden Markov models with continuous observations
We consider Hidden Markov Models that emit sequences of observations that are drawn from continuous distributions. For example, such a model may emit a sequence of numbers, each of which is drawn from a uniform distribution, but the support of the uniform distribution depends on the state of the Hid...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
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Schloss Dagstuhl - Leibniz-Zentrum für Informatik
2020
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