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IJCNN
2008
IEEE

Building meta-learning algorithms basing on search controlled by machine complexity

13 years 10 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and may be applied to any type of CI problems. The novelty of our proposal lies in complexity controlled testing combined with very useful learning machines generators. The simplest and the best solutions are strongly preferred and are explored earlier. The learning algorithm is augmented by meta-knowledge repository which accumulates information about progress of the search through the space of candidate solutions. The approach facilitates using human experts knowledge to restrict the search space and provide goal definition, gaining meta-knowledge in an automated manner.
Norbert Jankowski, Krzysztof Grabczewski
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IJCNN
Authors Norbert Jankowski, Krzysztof Grabczewski
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