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IRREGULAR
1997
Springer
15 years 2 months ago
1997
Springer
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
MP
2006
14 years 9 months ago
2006
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
SAC
2011
ACM
14 years 4 months ago
2011
ACM
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
DAC
2011
ACM
13 years 9 months ago
2011
ACM
Stochastic device noise has become a significant challenge for high-precision analog/RF circuits, and it is particularly difficult to correctly include both white noise and flic...
NIPS
2004
14 years 11 months ago
2004
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...