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» Limits on the Usefulness of Random Oracles
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110
Voted
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 5 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
CIBCB
2006
IEEE
15 years 4 months ago
Efficient Probe Selection in Microarray Design
Abstract-- The DNA microarray technology, originally developed to measure the level of gene expression, had become one of the most widely used tools in genomic study. Microarrays h...
Leszek Gasieniec, Cindy Y. Li, Paul Sant, Prudence...
PPSN
2000
Springer
15 years 4 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
117
Voted
NIPS
2008
15 years 2 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
FAST
2004
15 years 2 months ago
Circus: Opportunistic Block Reordering for Scalable Content Servers
Whole-file transfer is a basic primitive for Internet content dissemination. Content servers are increasingly limited by disk arm movement given the rapid growth in disk density, ...
Stergios V. Anastasiadis, Rajiv Wickremesinghe, Je...