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LION
2010
Springer
190views Optimization» more  LION 2010»
15 years 1 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
AUTOMATICA
2005
93views more  AUTOMATICA 2005»
14 years 9 months ago
Steady-state performance evaluation of continuous mono-T-semiflow Petri nets
The number of states in discrete event systems can increase exponentially with respect to the size of the system. A way to face this state explosion problem consists of relaxing t...
Jorge Júlvez, Laura Recalde, Manuel Silva
86
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IPPS
2002
IEEE
15 years 2 months ago
High-Performance Parallel and Distributed Computing for the BMI Eigenvalue Problem
The BMI Eigenvalue Problem is one of optimization problems and is to minimize the greatest eigenvalue of a bilinear matrix function. This paper proposes a parallel algorithm to co...
Kento Aida, Yoshiaki Futakata, Shinji Hara
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 1 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
70
Voted
IPPS
2007
IEEE
15 years 3 months ago
Adaptive Predictor Integration for System Performance Prediction
The integration of multiple predictors promises higher prediction accuracy than the accuracy that can be obtained with a single predictor. The challenge is how to select the best ...
Jian Zhang, Renato J. O. Figueiredo