1972 search results - page 125 / 395 » Hidden semi-Markov models |
184
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
193
Voted
IJCNN
2000
IEEE
15 years 11 months ago
2000
IEEE
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
179
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AAAI
2004
15 years 8 months ago
2004
Repetition is an important phenomenon in a variety of domains, such as music, computer programs and architectural drawings. A generative model for these domains should account for...
167
Voted
COLT
2008
Springer
15 years 8 months ago
2008
Springer
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
195
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ICDM
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...