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WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
14 years 3 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 2 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
ICANN
2010
Springer
13 years 10 months ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
NOMS
2006
IEEE
189views Communications» more  NOMS 2006»
14 years 3 months ago
Analysis of Firewall Policy Rules Using Data Mining Techniques
— Firewall is the de facto core technology of today's network security and defense. However, the management of firewall rules has been proven to be complex, error-prone, cos...
Korosh Golnabi, Richard K. Min, Latifur Khan, Ehab...
UML
2005
Springer
14 years 2 months ago
Performance Analysis of UML Models Using Aspect-Oriented Modeling Techniques
Abstract. Aspect-Oriented Modeling (AOM) techniques allow software designers to isolate and address separately solutions for crosscutting concerns (such as security, reliability, n...
Hui Shen, Dorina C. Petriu