1521 search results - page 68 / 305 » A learning model for oscillatory networks |
193
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CEC
2009
IEEE
16 years 1 months ago
2009
IEEE
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
184
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ICDAR
2007
IEEE
16 years 21 days ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
210
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DAGSTUHL
2009
15 years 7 months ago
2009
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
187
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UAI
2008
15 years 7 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
160
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NIPS
1997
15 years 7 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...