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WEBI
2009
Springer
16 years 26 days ago
Adaptive Distributed Intrusion Detection Using Parametric Model
Due to the increasing demands for network security, distributed intrusion detection has become a hot research topic in computer science. However, the design and maintenance of the...
Jun Gao, Weiming Hu, Xiaoqin Zhang, Xi Li
CISS
2008
IEEE
16 years 23 days ago
Distributed estimation in wireless sensor networks via variational message passing
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
Yanbing Zhang, Huaiyu Dai
ICASSP
2008
IEEE
16 years 22 days ago
Belief propagation distributed estimation in sensor networks: An optimized energy accuracy tradeoff
The estimation error performance of Gaussian belief propagation based distributed estimation in a large sensor network employing random sleep strategies is explicitly evaluated fo...
John MacLaren Walsh, Phillip A. Regalia
ECCV
2010
Springer
15 years 9 months ago
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...
CSDA
2007
134views more  CSDA 2007»
15 years 6 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington