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» On the Complexity of Exclusion Algorithms for Optimization
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GECCO
2005
Springer
16 years 1 days ago
A new approach to evaluate GP schema in context
Evaluating GP schema in context is considered to be a complex, and, at times impossible, task. The tightly linked nodes of a GP tree is the main reason behind its complexity. This...
Hammad Majeed
AI
2006
Springer
15 years 10 months ago
Exploiting Dynamic Independence in a Static Conditioning Graph
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
Kevin Grant, Michael C. Horsch
ICANN
2010
Springer
15 years 6 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
ICASSP
2011
IEEE
14 years 10 months ago
Low-complexity predictive lossy compression of hyperspectral and ultraspectral images
Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...
Andrea Abrardo, Mauro Barni, Enrico Magli
GI
1998
Springer
15 years 10 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller