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ICRA
2007
IEEE
203views Robotics» more  ICRA 2007»
15 years 9 months ago
Energy Saving Target Tracking Using Mobile Sensor Networks
Abstract Minimizing the energy consumption of target tracking using a mobile sensor network is proved to be NPcomplete. Based on proximity graph, an approximately optimal solution ...
Yingying Li, Yun-Hui Liu
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 3 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 9 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
SIGMETRICS
2011
ACM
229views Hardware» more  SIGMETRICS 2011»
14 years 6 months ago
Model-driven optimization of opportunistic routing
Opportunistic routing aims to improve wireless performance by exploiting communication opportunities arising by chance. A key challenge in opportunistic routing is how to achieve ...
Eric Rozner, Mi Kyung Han, Lili Qiu, Yin Zhang
FLAIRS
2010
15 years 5 months ago
Meta-Prediction for Collective Classification
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...
Luke McDowell, Kalyan Moy Gupta, David W. Aha