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NIPS
2007
14 years 11 months ago
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
SEMCO
2007
IEEE
15 years 3 months ago
Learning by Reading by Learning to Read
Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledg...
Sergei Nirenburg, Tim Oates, Jesse English
87
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FLAIRS
2001
14 years 11 months ago
Improving Knowledge-Based System Performance by Reordering Rule Sequences
In this paper, we argue that KBS validation should not be limited to testing functional properties of the system, such as its input - output behavior, but must also address its dy...
Neli Zlatareva
ISPEC
2007
Springer
15 years 3 months ago
An Economical Model for the Risk Evaluation of DoS Vulnerabilities in Cryptography Protocols
Denial of Service (DoS) attacks are a virulent type of attack on the availability of networks’ intended services and resources. Defense against DoS attacks has been built into th...
Zhen Cao, Zhi Guan, Zhong Chen, Jian-bin Hu, Liyon...
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 3 months ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi