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» On Computing Functions with Uncertainty
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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 10 months ago
A GP neutral function for the artificial ANT problem
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...
Esteban Ricalde, Katya Rodríguez-Váz...
ACNS
2004
Springer
167views Cryptology» more  ACNS 2004»
15 years 10 months ago
A Fully-Functional Group Signature Scheme over Only Known-Order Group
The concept of group signature allows a group member to sign message anonymously on behalf of the group. In the event of a dispute, a designated entity can reveal the identity of a...
Atsuko Miyaji, Kozue Umeda
FLAIRS
2004
15 years 8 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
NIPS
2003
15 years 8 months ago
A Functional Architecture for Motion Pattern Processing in MSTd
Psychophysical studies suggest the existence of specialized detectors for component motion patterns (radial, circular, and spiral), that are consistent with the visual motion prop...
Scott A. Beardsley, Lucia M. Vaina
NC
1998
140views Neural Networks» more  NC 1998»
15 years 8 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner