619 search results - page 39 / 124 » Experimental Evaluation of Hierarchical Hidden Markov Models |
129
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
111
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
BIBE
2000
IEEE
15 years 5 months ago
2000
IEEE
In this paper we develop data mining techniques to predict 3D contact potentials among protein residues (or amino acids) based on the hierarchical nucleationpropagation model of p...
123
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INTERSPEECH
2010
14 years 8 months ago
2010
In this paper we evaluate a method for generating synthetic speech at high speaking rates based on the interpolation of hidden semi-Markov models (HSMMs) trained on speech data re...
GLOBECOM
2006
IEEE
15 years 8 months ago
2006
IEEE
—The mandatory access mode in IEEE 802.11 MAC is Distributed Coordination Function (DCF), which provides both basic access and RTS/CTS(request-to-send/clear-to-send) access. Prev...