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ATAL
2005
Springer
15 years 5 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICLP
2005
Springer
15 years 5 months ago
A Generic Framework for the Analysis and Specialization of Logic Programs
The relationship between abstract interpretation and partial deduction has received considerable attention and (partial) integrations have been proposed starting from both the part...
Germán Puebla, Elvira Albert, Manuel V. Her...
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 5 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
MM
2003
ACM
146views Multimedia» more  MM 2003»
15 years 5 months ago
Supporting timeliness and accuracy in distributed real-time content-based video analysis
Real-time content-based access to live video data requires content analysis applications that are able to process the video data at least as fast as the video data is made availab...
Viktor S. Wold Eide, Frank Eliassen, Ole-Christoff...
EUROCOLT
1997
Springer
15 years 4 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag