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Title:
Meta-Learning in Computational Intelligence edited by Norbert Jankowski, Włodzisław Duch, Krzysztof Gra̧bczewski.
Studies in Computational Intelligence,
Studies in Computational Intelligence,
Main Entry:
Jankowski, Norbert.
Duch, Wlodzislaw.
Gra̧bczewski, Krzysztof.
SpringerLink (Online service)
Publisher:
Springer Berlin Heidelberg,
Publication Date:
2011.
Publication Place:
Berlin, Heidelberg :
ISBN:
9783642209802
Subject:
Engineering.
Artificial intelligence.
Engineering.
Computational intelligence.
Artificial Intelligence (incl. Robotics).
Series:
Studies in Computational Intelligence, 358
Studies in Computational Intelligence, 358
Contents:
<p>Universal meta-learning</p><p>architecture and algorithms -- <p>Meta-learning of instance</p><p>selection for data</p><p>summarization -- <p>Choosing the metric: a simple</p><p>model approach -- <p>Meta-learning Architectures:</p><p>Collecting, Organizing and</p><p>Exploiting Meta-knowledge -- <p>Computational intelligence for</p><p>meta-learning: a promising</p><p>avenue of research -- <p>Self-organization of supervised</p><p>models -- <p>Selecting Machine Learning</p><p>Algorithms Using the Ranking</p><p>Meta-Learning Approach -- <p>A Meta-Model Perspective and</p><p>Attribute Grammar Approach to</p><p>Facilitating the Development of</p><p>Novel Neural Network Models -- <p>Ontology-Based Meta-Mining</p><p>of Knowledge Discovery</p><p>Workflows -- <p>Optimal Support Features for</p><p>Meta-learning.</p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p>.
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Springer eBooks
Printed edition: 9783642209796
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Q342
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