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» The basic feasible functionals in computable analysis
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GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 5 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
CCGRID
2007
IEEE
15 years 6 months ago
Parameter Sweeps for Functional MRI Research in the "Virtual Laboratory for e-Science" Project
Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
Sílvia Delgado Olabarriaga, Aart J. Nederve...
88
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ICONIP
1998
15 years 1 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
CONPAR
1992
15 years 3 months ago
Analysis of an Efficient Distributed Algorithm for Mutual Exclusion (Average-Case Analysis of Path Reversal)
The algorithm designed in [12, 15] was the very first distributed algorithm to solve the mutual exclusion problem in complete networks by using a dynamic logical tree structure as...
Christian Lavault
ICSE
2007
IEEE-ACM
15 years 11 months ago
Path-Sensitive Inference of Function Precedence Protocols
Function precedence protocols define ordering relations among function calls in a program. In some instances, precedence protocols are well-understood (e.g., a call to pthread mut...
Murali Krishna Ramanathan, Ananth Grama, Suresh Ja...