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- W1519164585 abstract "We present a method of constructive induction aimed at learning tasks involving multivariate time series data. Using metafeatures, the scope of attribute-value learning is expanded to domains that contain instances that have some kind of recurring substructure, such as strokes in handwriting recognition, or local maxima in time series data. These substructures are used to construct attributes. Metafeatures are applied to two real-world domains: sign language recognition and ECG classification. Using a very generic set of metafeatures we are able to generate classifiers that are either comprehensible or accurate, producing results that are comparable to hand-crafted preprocessing and comparable to human experts." @default.
- W1519164585 created "2016-06-24" @default.
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- W1519164585 date "2004-01-01" @default.
- W1519164585 modified "2023-09-26" @default.
- W1519164585 title "Constructive Induction for Classifying Time Series" @default.
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- W1519164585 doi "https://doi.org/10.1007/978-3-540-30115-8_20" @default.
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