Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries

DOI10.1016/S0004-3702(03)00016-XzbMath1082.68734MaRDI QIDQ814458

Gerhard Widmer

Publication date: 7 February 2006

Published in: Artificial Intelligence (Search for Journal in Brave)

zbMATH Keywords

Data miningMachine learningMeta-learningEnsemble methodsExpressive music performancePartial modelsRule discovery

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music ⋮ Relational IBL in classical music ⋮ Automatic identification of music performers with learning ensembles ⋮ A constraint-based approach for annotating music scores with gestural information ⋮ Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams

Uses Software

• C4.5

Cites Work

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• Separate-and-conquer rule learning
• Principles of human-computer collaboration for knowledge discovery in science
• Hierarchical clustering schemes
• Robust classification for imprecise environments

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