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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 5 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
SIGIR
2006
ACM
15 years 5 months ago
User modeling for full-text federated search in peer-to-peer networks
User modeling for information retrieval has mostly been studied to improve the effectiveness of information access in centralized repositories. In this paper we explore user model...
Jie Lu, James P. Callan
CASES
2006
ACM
15 years 5 months ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...
ESEM
2009
ACM
15 years 6 months ago
Using security metrics coupled with predictive modeling and simulation to assess security processes
: © Using Security Metrics Coupled with Predictive Modeling and Simulation to Assess Security Processes Yolanta Beres, Marco Casassa Mont, Jonathan Griffin, Simon Shiu HP Laborato...
Yolanta Beres, Marco Casassa Mont, Jonathan Griffi...
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IJCAI
2003
15 years 1 months ago
Learning Value Predictors for the Speculative Execution of Information Gathering Plans
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is clos...
Greg Barish, Craig A. Knoblock