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» Approximating Markov Processes by Averaging
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JSAC
2006
107views more  JSAC 2006»
14 years 11 months ago
Adaptive Sensor Activity Control in Many-to-One Sensor Networks
Abstract--In this paper, we consider a many-to-one sensor network where a large number of sensors are deployed to monitor a physical environment. We explore sensor activity managem...
Zhifeng Hu, Junshan Zhang, Lang Tong
ECUMN
2004
Springer
15 years 3 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...
ISPD
1999
ACM
85views Hardware» more  ISPD 1999»
15 years 4 months ago
Optimal partitioners and end-case placers for standard-cell layout
We study alternatives to FM-based partitioning in the context of end-case processing for top-down standard-cell placement. The primary motivation is that small partitioning instan...
Andrew E. Caldwell, Andrew B. Kahng, Igor L. Marko...
NECO
2007
150views more  NECO 2007»
14 years 11 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
FSTTCS
2010
Springer
14 years 9 months ago
One-Counter Stochastic Games
We study the computational complexity of basic decision problems for one-counter simple stochastic games (OC-SSGs), under various objectives. OC-SSGs are 2-player turn-based stoch...
Tomás Brázdil, Václav Brozek,...