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» Using Gaussian Processes to Optimize Expensive Functions
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PIMRC
2010
IEEE
14 years 11 months ago
Statistical Learning-based Automated Healing: Application to mobility in 3G LTE networks
Abstract--Troubleshooting of wireless networks is a challenging network management task. We have developed, in a previous work, a new troubleshooting methodology, which we named St...
Moazzam Islam Tiwana, Berna Sayraç, Zwi Alt...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 5 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
ECML
2004
Springer
15 years 6 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
ISVC
2009
Springer
15 years 7 months ago
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
Image segmentation techniques are predominately based on parameter-laden optimization processes. The segmentation objective function traditionally involves parameters (i.e. weights...
Josna Rao, Ghassan Hamarneh, Rafeef Abugharbieh
GLOBECOM
2008
IEEE
15 years 7 months ago
Outage-Based Rate Maximization in CDMA Wireless Networks
—The problem of maximizing the sum of the transmit rates while limiting the outage probability below an appropriate threshold is investigated for networks where the nodes have li...
M. D'Angelo, Carlo Fischione, Matteo Butussi, Ales...