1704 search results - page 91 / 341 » Learning nonlinear dynamic models |
118
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
129
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BMCBI
2010
15 years 27 days ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
96
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BMCBI
2008
15 years 27 days ago
2008
Background: Innumerable biological investigations require comparing collections of molecules, cells or organisms to one another with respect to one or more of their properties. Al...
120
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PERCOM
2005
ACM
15 years 6 months ago
2005
ACM
When ubiquitous computing devices access a contextawareness service, such as a location service, they need some assurance that the quality of the information received is trustwort...
103
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NIPS
1998
15 years 2 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...