2518 search results - page 159 / 504 » Machine learning in sedimentation modelling |
170
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
147
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
202
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ESWA
2006
15 years 6 months ago
2006
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
194
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
191
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...