Equivalence and Reduction of Hidden Markov Models
This report studies when and why two Hidden Markov Models (HMMs) may represent the same stochastic process. HMMs are characterized in terms of equivalence classes whose elements represent identical stochastic processes. This characterization yields polynomial time algorithms to detect equival...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6801 |