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EWSN
2006
Springer
15 years 11 months ago
PAQ: Time Series Forecasting for Approximate Query Answering in Sensor Networks
In this paper, we present a method for approximating the values of sensors in a wireless sensor network based on time series forecasting. More specifically, our approach relies on ...
Daniela Tulone, Samuel Madden
ATAL
2008
Springer
15 years 1 months ago
Efficient approximate inference in distributed Bayesian networks for MAS-based sensor interpretation
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
Norman Carver
SAC
2008
ACM
14 years 11 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
CP
2008
Springer
15 years 1 months ago
Approximate Solution Sampling (and Counting) on AND/OR Spaces
In this paper, we describe a new algorithm for sampling solutions from a uniform distribution over the solutions of a constraint network. Our new algorithm improves upon the Sampli...
Vibhav Gogate, Rina Dechter
MOBIHOC
2002
ACM
15 years 11 months ago
Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
We present a series of approximation algorithms for finding a small weakly-connected dominating set (WCDS) in a given graph to be used in clustering mobile ad hoc networks. The st...
Yuanzhu Peter Chen, Arthur L. Liestman