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CEC
2003
IEEE
15 years 5 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»
15 years 29 days 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»
14 years 10 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
14 years 10 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»
16 years 1 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...