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PPSN
2010
Springer
13 years 8 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
EVOW
2012
Springer
12 years 5 months ago
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...
ICPP
2009
IEEE
14 years 4 months ago
Broker Selection Strategies in Interoperable Grid Systems
—The increasing demand for resources of the high performance computing systems has led to new forms of collaboration of distributed systems such as interoperable grid systems tha...
Ivan Rodero, Francesc Guim, Julita Corbalán...
ICDCS
2008
IEEE
14 years 4 months ago
Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems
Large-scale distributed systems provide an attractive scalable infrastructure for network applications. However, the loosely-coupled nature of this environment can make data acces...
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
IPPS
2007
IEEE
14 years 4 months ago
Library Function Selection in Compiling Octave
One way to address the continuing performance problem of high-level domain-specific languages, such as Octave or MATLAB, is to compile them to a relatively lower level language f...
Daniel McFarlin, Arun Chauhan