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IJPP
2011
115views more  IJPP 2011»
14 years 3 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
ATAL
2006
Springer
15 years 4 months ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa
CVPR
2010
IEEE
15 years 8 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
121
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CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
14 years 7 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
EUROGP
2007
Springer
118views Optimization» more  EUROGP 2007»
15 years 6 months ago
Predicting Prime Numbers Using Cartesian Genetic Programming
James Alfred Walker, Julian Francis Miller