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CEC
2003
IEEE
14 years 1 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 8 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
DATESO
2010
96views Database» more  DATESO 2010»
13 years 5 months ago
A Framework for Efficient Design, Maintaining, and Evolution of a System of XML Applications
Abstract. The today's applications usually form a system of sub-applications, each being responsible for a particular functionality. Hence, the design and maintenance of such ...
Martin Necaský, Irena Mlýnková...
ICIP
2010
IEEE
13 years 5 months ago
Improving subpixel stereo matching with segment evolution
Segmentation-based approach has shown significant success in stereo matching. By assuming pixels within one image segment belong to the same 3D surface, robust depth estimation ca...
Yao-Jen Chang, Hung-Hsun Liu, Tsuhan Chen
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
14 years 9 months ago
Evolution of Distributed Web Data: An Application of the Reactive Language XChange
Many data sources on the Web evolve in the sense that they change their content over time, typically as a reaction to some event. Such changes often need to be mirrored in data on...
François Bry, Hendrik Grallert, Michael Eck...