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EMO
2001
Springer
71views Optimization» more  EMO 2001»
15 years 11 months ago
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
Abstract The performance of stochastic optimisers can be assessed experimentally on given problems by performing multiple optimisation runs, and analysing the results. Since an opt...
Viviane Grunert da Fonseca, Carlos M. Fonseca, And...
PKC
1999
Springer
83views Cryptology» more  PKC 1999»
15 years 11 months ago
On the Security of Random Sources
Abstract. Many applications rely on the security of their random number generator. It is therefore essential that such devices be extensively tested for malfunction. The purpose of...
Jean-Sébastien Coron
COLT
2006
Springer
15 years 10 months ago
Discriminative Learning Can Succeed Where Generative Learning Fails
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
Philip M. Long, Rocco A. Servedio
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 10 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
PEPM
1991
ACM
15 years 10 months ago
Properties of Unfolding-based Meta-level Systems
It is well known that the performance of a program can often be improved by means of program transformation. Several program transformation techniques, eg. partial evaluation, wor...
Torben Amtoft Hansen