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ALGOSENSORS
2010
Springer
15 years 3 months ago
Lifetime Maximization of Monitoring Sensor Networks
We study the problem of maximizing the lifetime of a sensor network assigned to monitor a given area. Our main result is a linear time dual approximation algorithm that comes arbit...
Peter Sanders, Dennis Schieferdecker
ICSM
2002
IEEE
15 years 9 months ago
Evaluating Context-Sensitive Slicing and Chopping
We present an empirical evaluation of three contextsensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. B...
Jens Krinke
KR
2004
Springer
15 years 10 months ago
Breadth-First Heuristic Search
Recent work shows that the memory requirements of bestfirst heuristic search can be reduced substantially by using a divide-and-conquer method of solution reconstruction. We show...
Rong Zhou, Eric A. Hansen
IJAR
2006
98views more  IJAR 2006»
15 years 4 months ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
ML
2002
ACM
154views Machine Learning» more  ML 2002»
15 years 4 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan