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NDSS
2008
IEEE
16 years 27 days ago
Limits of Learning-based Signature Generation with Adversaries
Automatic signature generation is necessary because there may often be little time between the discovery of a vulnerability, and exploits developed to target the vulnerability. Mu...
Shobha Venkataraman, Avrim Blum, Dawn Song
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 20 days ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
COLT
1997
Springer
15 years 10 months ago
On-line Learning and the Metrical Task System Problem
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
Avrim Blum, Carl Burch
NIPS
2007
15 years 8 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
16 years 20 days ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden