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» Evolving prediction weights using evolution strategy
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GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 4 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
15 years 1 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
INTERSPEECH
2010
14 years 4 months ago
Binary coding of speech spectrograms using a deep auto-encoder
This paper reports our recent exploration of the layer-by-layer learning strategy for training a multi-layer generative model of patches of speech spectrograms. The top layer of t...
Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, ...
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
136
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VIIP
2001
14 years 11 months ago
Boolean 2D Shape Similarity for Surface Reconstruction
Surface reconstruction problem (SRP) from planar samples has been traditionally approached by either (i) using local proximity between data points in adjacent layers, or by (ii) c...
Oscar E. Ruiz, Carlos A. Cadavid