845 search results - page 14 / 169 » A Graphical Model for Evolutionary Optimization |
HIS
2008
14 years 11 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
93
Voted
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Computer aided NC-path generation of five-axis milling using a standard CAM-system does usually not take machine dynamics and kinematics into account. This results in machine move...
68
Voted
SBRN
2000
IEEE
15 years 1 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
93
Voted
TSMC
2010
14 years 4 months ago
2010
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...