26 search results - page 4 / 6 » Inferring Elapsed Time from Stochastic Neural Processes |
104
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NIPS
2004
14 years 11 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
101
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NN
2007
Springer
14 years 9 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
ICA
2010
Springer
14 years 10 months ago
2010
Springer
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
125
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ICALP
2001
Springer
15 years 2 months ago
2001
Springer
We present a probabilistic algorithm that, given a connected graph G (represented by adjacency lists) of average degree d, with edge weights in the set {1, . . . , w}, and given a ...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...