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ICML
2009
IEEE
16 years 7 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
ICDE
2007
IEEE
120views Database» more  ICDE 2007»
16 years 24 days ago
Optimizing State-Intensive Non-Blocking Queries Using Run-time Adaptation
Main memory is a critical resource when processing non-blocking queries with state intensive operators that require real-time responses. While partitioned parallel processing can ...
Bin Liu, Mariana Jbantova, Elke A. Rundensteiner
IJSN
2007
73views more  IJSN 2007»
15 years 6 months ago
Optimal worm-scanning method using vulnerable-host distributions
: Most Internet worms use random scanning. The distribution of vulnerable hosts on the Internet, however, is highly non-uniform over the IP-address space. This implies that random ...
Zesheng Chen, Chuanyi Ji
GECCO
2009
Springer
115views Optimization» more  GECCO 2009»
15 years 11 months ago
Rapid prototyping using evolutionary approaches: part 2
In this paper we extend the work done in [5], where authors have proposed a evolutionary multi-objective approach to Rapid Prototyping (RP), to decipher optimal build orientation ...
Nikhil Padhye, Subodh Kalia
ICCSA
2005
Springer
16 years 4 hour ago
Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
Laurent Dumas, Vincent Herbert, Frédé...