2868 search results - page 365 / 574 » Inference in Bayesian Networks |
114
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IDEAL
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
143
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ACL
2007
15 years 6 months ago
2007
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
158
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GLOBECOM
2010
IEEE
15 years 3 months ago
2010
IEEE
In network tomography, we seek to infer link status parameters (such as delay) inside a network through end-toend probe sending between (external) boundary nodes. The main challeng...
130
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NIPS
1996
15 years 6 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
155
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...