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GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
13 years 7 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
AIA
2006
13 years 5 months ago
Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
Benno Stein, Oliver Niggemann, Theodor Lettmann
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 7 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
EVOW
2010
Springer
13 years 7 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
ICPADS
2006
IEEE
13 years 10 months ago
On-line Evolutionary Resource Matching for Job Scheduling in Heterogeneous Grid Environments
In this paper, we describe a resource matcher (RM) developed for the on-line resource matching in heterogeneous grid environments. RM is based on the principles of Evolutionary Al...
Vijay K. Naik, Pawel Garbacki, Krishna Kummamuru, ...