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» Modeling GA Performance for Control Parameter Optimization
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WSC
2007
15 years 3 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
COR
2008
86views more  COR 2008»
15 years 3 days ago
Optimizing counter-terror operations: Should one fight fire with "fire" or "water"?
This paper deals dynamically with the question of how recruitment to terror organizations is influenced by counter-terror operations. This is done within a optimal control model, ...
Jonathan P. Caulkins, Dieter Grass, Gustav Feichti...
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 2 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
CVPR
2009
IEEE
16 years 8 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
ICML
2005
IEEE
16 years 2 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III