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» A Graphical Model for Evolutionary Optimization
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FTML
2008
185views more  FTML 2008»
14 years 11 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
AAAI
2007
15 years 2 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
DAC
2009
ACM
16 years 22 days ago
Power modeling of graphical user interfaces on OLED displays
Emerging organic light-emitting diode (OLED)-based displays obviate external lighting; and consume drastically different power when displaying different colors, due to their emiss...
Mian Dong, Yung-Seok Kevin Choi, Lin Zhong
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 5 months ago
Implementation issues for an interactive evolutionary computation system
The design and development of an Interactive Evolutionary Computation (IEC) system needs to take into account the implementation issues found when delivering the system to “Real...
Mark R. N. Shackelford
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 3 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben