6042 search results - page 228 / 1209 » Repeated Observation Models |
168
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ICRA
2005
IEEE
15 years 11 months ago
2005
IEEE
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
157
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INFOCOM
2002
IEEE
15 years 11 months ago
2002
IEEE
Abstract—This work develops a discrete-time dynamical feedback system model for a simplified TCP network with RED control and provides a nonlinear analysis that can help in unde...
165
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NIPS
2000
15 years 7 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...
166
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ICRA
2010
IEEE
15 years 4 months ago
2010
IEEE
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
213
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ESOP
2011
Springer
14 years 9 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...