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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 5 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
ICMLA
2010
15 years 3 days ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
CEC
2007
IEEE
15 years 8 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
CISS
2007
IEEE
15 years 8 months ago
Sensor Location through Linear Programming with Arrival Angle Constraints
Abstract— In previous work, we established a linear programming framework to determine sensor location from measured link distances between neighboring nodes in a network. Beside...
Camillo Gentile, John Shiu
113
Voted
ICC
2007
IEEE
168views Communications» more  ICC 2007»
15 years 8 months ago
Energy and QoS Aware Packet Forwarding in Wireless Sensor Networks
— We consider energy efficient packet forwarding with quality-of-service (QoS) guarantee for wireless sensor networks (WSNs). In most existing wireless network protocols, route ...
Rong Yu, Yan Zhang, Zhi Sun, Shunliang Mei