1863 search results - page 87 / 373 » Multiagent learning using a variable learning rate |
126
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NN
2006
Springer
15 years 4 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
139
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NIPS
1997
15 years 6 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
134
Voted
PAMI
2008
15 years 4 months ago
2008
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
161
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JMLR
2010
14 years 11 months ago
2010
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
153
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ATAL
2008
Springer
15 years 6 months ago
2008
Springer
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...