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IWANN
2001
Springer
13 years 11 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
GECCO
2009
Springer
13 years 11 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
ICIP
2008
IEEE
14 years 1 months ago
A systematic study of the role of context on image classification
We present the results of a systematic study of the contextual gain hypothesis for image classification. This hypothesis relates the traditional strategy of direct visual classi...
Nikhil Rasiwasia, Nuno Vasconcelos
CAD
2007
Springer
13 years 6 months ago
A B-spline-based approach to heterogeneous objects design and analysis
The recent advancement of solid freeform fabrication, design techniques and fundamental understanding of material properties in functionally graded materials has made it possible ...
Pinghai Yang, Xiaoping Qian
WCRE
2003
IEEE
13 years 12 months ago
Predicting Maintainability with Object-Oriented Metrics - An Empirical Comparison
A large number of metrics have been proposed for measuring properties of object-oriented software such as size, inheritance, cohesion and coupling. We have been investigating whic...
Melis Dagpinar, Jens H. Jahnke