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» Modeling GA Performance for Control Parameter Optimization
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SASO
2007
IEEE
14 years 3 months ago
Leveraging Resource Prediction for Anticipatory Dynamic Configuration
Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to applications and how to set the quality parameters of each applicat...
Vahe Poladian, David Garlan, Mary Shaw, M. Satyana...
ICML
2009
IEEE
14 years 9 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
ADHOC
2006
115views more  ADHOC 2006»
13 years 9 months ago
Routing characteristics of ad hoc networks with unidirectional links
Unidirectional links in an ad hoc network can result from factors such as heterogeneity of receiver and transmitter hardware, power control or topology control algorithms, or diff...
Jorjeta G. Jetcheva, David B. Johnson
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 2 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
ATAL
2010
Springer
13 years 9 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko