This paper addresses the problem of estimating the opti- mal Hidden Markov Model (HMM) topology. The optimal topology is defined as the one that gives the ...
This paper addresses the problem of estimating the opti mal Hidden Markov Model (HMM) topology. The optimal topology is defined as the one that gives the ...
The paper introduces a Bayesian model selection criterion that is suitable for Continuous Hidden Markov Models topology optimization, derived from the ...
Jan 1, 2002 · The paper introduces a Bayesian model selection criterion that is suitable for Continuous Hidden Markov Models topology optimization. The ...
The paper introduces a Bayesian model selection criterion that is suitable for Continuous Hidden Markov Models topology optimization. The criterion is derived ...
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The paper introduces a Bayesian model selection criterion that is suitable for Continuous Hidden Markov Models topology optimization. The criterion is ...
This paper proposes a model selection criterion for classificationproblems. The criterion focuses on selecting modelsthat are discriminant instead of models ...
... Park & A. Biem, A study of various model selection criteria for HMM topology optimization. Proc. IGS2003, 2003, 249-254. 566 Thread was being aborted.
This paper addresses the problem of estimating the optimal Hidden Markov Model (HMM) topology. The optimal topology is defined as the one that gives the ...
IEEE Transactions on Pattern Analysis and Machine Intelligence. A Bayesian model selection criterion for HMM topology optimization. Alain Biem; Jin-Young Ha; et ...