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» LEO - DB2's LEarning Optimizer
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CGO
2010
IEEE
14 years 3 months ago
Taming hardware event samples for FDO compilation
Feedback-directed optimization (FDO) is effective in improving application runtime performance, but has not been widely adopted due to the tedious dual-compilation model, the difï...
Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-...
NEUROSCIENCE
2001
Springer
14 years 3 months ago
Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...
Guido Bugmann
ATAL
2008
Springer
14 years 23 days ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 12 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
DSS
2008
123views more  DSS 2008»
13 years 10 months ago
Delayed multiattribute product differentiation
We develop a two-stage model for versioning products with respect to both vertical and horizontal attributes. At first, a firm positions its top-quality "flagship" produ...
Thomas A. Weber