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» Simulation Optimization: Methods and Applications
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ICML
2004
IEEE
16 years 4 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
135
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 9 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
15 years 9 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
125
Voted
FPL
2008
Springer
110views Hardware» more  FPL 2008»
15 years 5 months ago
Automatic generation of run-time parameterizable configurations
In many applications, subsequent data manipulations differ only in a small set of parameter values. Because of their reconfigurability, FPGAs (Field Programmable Gate Arrays) can ...
Karel Bruneel, Dirk Stroobandt
125
Voted
ICMLA
2009
15 years 1 months ago
Exact Graph Structure Estimation with Degree Priors
We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
Bert Huang, Tony Jebara