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CSDA
2007
134views more  CSDA 2007»
15 years 4 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
DANCE
2002
IEEE
15 years 9 months ago
Modeling CPU Demand in Heterogeneous Active Networks
Active-network technology envisions deploying execution environments in network elements so that application-specific processing can be applied to network traffic. To provide safe...
Virginie Galtier, Kevin L. Mills, Yannick Carlinet
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 4 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
JCSS
2008
81views more  JCSS 2008»
15 years 4 months ago
A simulator for adaptive parallel applications
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch
112
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SAFECOMP
2005
Springer
15 years 10 months ago
Safety Interfaces for Component-Based Systems
Abstract. This paper addresses the problems appearing in componentbased development of safety-critical systems. We aim at efficient reasoning about safety at system level while add...
Jonas Elmqvist, Simin Nadjm-Tehrani, Marius Minea