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ICDE
2008
IEEE
117views Database» more  ICDE 2008»
13 years 11 months ago
Region Sampling: Continuous Adaptive Sampling on Sensor Networks
Abstract— Satisfying energy constraints while meeting performance requirements is a primary concern when a sensor network is being deployed. Many recent proposed techniques offer...
Song Lin, Benjamin Arai, Dimitrios Gunopulos, Gaut...
AAAI
2004
13 years 6 months ago
Regrets Only! Online Stochastic Optimization under Time Constraints
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
Russell Bent, Pascal Van Hentenryck
AMAI
2004
Springer
13 years 10 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
JUCS
2010
142views more  JUCS 2010»
13 years 3 months ago
Mobile Agent Routing with Time Constraints: A Resource Constrained Longest-Path Approach
: Mobile agent technology advocates the mobility of code rather than the transfer of data. As data is found in several sites, a mobile agent has to plan an itinerary to visit sever...
Eduardo Camponogara, Ricardo Boveto Shima
CDC
2008
IEEE
137views Control Systems» more  CDC 2008»
13 years 11 months ago
An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems
— This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
Alessandro Abate, Maria Prandini, John Lygeros, Sh...