8499 search results - page 1435 / 1700 » networking 2007 |
189
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NIPS
1998
15 years 8 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
196
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FORTE
1997
15 years 8 months ago
1997
Distributed programming and object-oriented programming are two popular programming paradigms. The former is driven by advances in networking technology whereas the latter provide...
176
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NIPS
2000
15 years 8 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
195
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NIPS
2000
15 years 8 months ago
2000
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
209
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OPODIS
2000
15 years 8 months ago
2000
We assume a link-register communication model under read/write atomicity, where every process can read from but cannot write into its neighbours' registers. The paper present...