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» Optimization with Extremal Dynamics
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AAAI
2008
15 years 1 months ago
Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
Dan Morris, Ian Simon, Sumit Basu
EUROPAR
2008
Springer
15 years 1 months ago
Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability
We describe a scheduling technique in which estimated job runtimes and estimated resource availability are used to efficiently distribute workloads across a homogeneous grid of res...
Sam Verboven, Peter Hellinckx, Jan Broeckhove, Fra...
TOOLS
2010
IEEE
14 years 9 months ago
Visualizing Dynamic Metrics with Profiling Blueprints
While traditional approaches to code profiling help locate performance bottlenecks, they offer only limited support for removing these bottlenecks. The main reason is the lack of v...
Alexandre Bergel, Romain Robbes, Walter Binder
EC
2008
164views ECommerce» more  EC 2008»
14 years 11 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
97
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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...