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150
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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 7 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
137
Voted
UAI
2000
15 years 4 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
113
Voted
GLOBECOM
2009
IEEE
15 years 1 months ago
Downlink Distributed Beamforming through Relay Networks
Beamforming and relaying are two methods of improving wireless system performance. Until now, these techniques have been considered separately. In this paper, a single source (base...
Yi Zheng, Steven D. Blostein
162
Voted
CVPR
2012
IEEE
13 years 6 months ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...
BROADNETS
2005
IEEE
15 years 9 months ago
Dual-link failure resiliency through backup link mutual exclusion
— Networks employ link protection to achieve fast recovery from link failures. While the first link failure can be protected using link protection, there are several alternative...
Amit Chandak, Srinivasan Ramasubramanian