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ICMLA
2008
13 years 9 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
13 years 11 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
ECAL
2001
Springer
13 years 12 months ago
Evolving Multi-agent Networks in Structured Environments
A crucial feature of evolving natural systems is parallelism. The simultaneous and distributed application of rules (governed by e.g. biochemistry) is generally considered as the p...
Thomas Glotzmann, Holger Lange, Michael Hauhs, A. ...
DAIS
1997
13 years 8 months ago
A System for Specifying and Coordinating the Execution of Reliable Distributed Applications
An increasing number of distributed applications are being constructed by composing them out of existing applications. The resulting applications can be very complex in structure,...
Frédéric Ranno, Santosh K. Shrivasta...
CCS
2007
ACM
14 years 1 months ago
Specifying and analyzing security automata using CSP-OZ
Security automata are a variant of B¨uchi automata used to specify security policies that can be enforced by monitoring system execution. In this paper, we propose using CSP-OZ, ...
David A. Basin, Ernst-Rüdiger Olderog, Paul E...