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» Modeling Dependable Systems using Hybrid Bayesian Networks
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ISPDC
2008
IEEE
14 years 3 months ago
Performance Analysis of Grid DAG Scheduling Algorithms using MONARC Simulation Tool
This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
Florin Pop, Ciprian Dobre, Valentin Cristea
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
14 years 1 months ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar
NIPS
2003
13 years 10 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
JSAC
2008
82views more  JSAC 2008»
13 years 8 months ago
Integration of communication and control using discrete time Kuramoto models for multivehicle coordination over broadcast networ
Abstract-- This paper considers the integration of communication and control with respect to the task of coordinated heading control for a group of N vehicles. The heading control ...
Daniel J. Klein, Phillip Lee, Kristi A. Morgansen,...
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
14 years 1 months ago
End-to-end service failure diagnosis using belief networks
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Malgorzata Steinder, Adarshpal S. Sethi