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» Simulation Input Updating Using Bayesian Techniques
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IPSN
2004
Springer
15 years 6 months ago
A probabilistic approach to inference with limited information in sensor networks
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas
INFOCOM
2003
IEEE
15 years 6 months ago
Server-based Inference of Internet Link Lossiness
— We investigate the problem of inferring the packet loss characteristics of Internet links using server-based measurements. Unlike much of existing work on network tomography th...
Venkata N. Padmanabhan, Lili Qiu, Helen J. Wang
SSS
2010
Springer
143views Control Systems» more  SSS 2010»
14 years 12 months ago
Lightweight Live Migration for High Availability Cluster Service
High availability is a critical feature for service clusters and cloud computing, and is often considered more valuable than performance. One commonly used technique to enhance the...
Bo Jiang, Binoy Ravindran, Changsoo Kim
120
Voted
TCAD
2010
103views more  TCAD 2010»
14 years 8 months ago
Supervised Learning Based Power Management for Multicore Processors
- This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state...
Hwisung Jung, Massoud Pedram
WSC
1997
15 years 2 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick