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Method trees
2005
Proceedings of the 2005 workshops on Genetic and evolutionary computation - GECCO '05
In this paper we introduce a framework for automatic feature extraction from very large series. The extracted features build a new representation which is better suitable for a given learning task. The development of appropriate feature extraction methods is a tedious effort, particularly because every new classification task requires tailoring the feature set anew. Therefore, the simple building blocks defined in our framework can be combined to complex feature extraction methods. We employ a
doi:10.1145/1102256.1102322
dblp:conf/gecco/MierswaM05
fatcat:4qa5bf32kze6vl326rmjcp37vm