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» Sampling Bounds for Stochastic Optimization
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ICCCN
2007
IEEE
14 years 1 months ago
Localized and Configurable Topology Control in Lossy Wireless Sensor Networks
Wireless sensor networks (WSNs) introduce new challenges to topology control due to the prevalence of lossy links. We propose a new topology control formulation for lossy WSNs that...
Guoliang Xing, Chenyang Lu, Robert Pless
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 8 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
CEC
2010
IEEE
13 years 1 months ago
A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment
— Efficient vehicle path planning in hostile environment to carry out rescue or tactical logistic missions remains very challenging. Most approaches reported so far relies on key...
Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, A...
DMSN
2007
ACM
14 years 1 months ago
Declarative temporal data models for sensor-driven query processing
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Yanif Ahmad, Ugur Çetintemel
ATAL
2006
Springer
14 years 1 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...