Dynamic Targets - Adapting Supervised Learning to Time Series Classification

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Dynamic Targets Adapting Supervised Learning to Time Series Classification (1999) (Make Corrections) (1 citation)
Ernst Haselsteiner

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Abstract: To train a classifier with supervised learning appropriate targets have to be provided. In the case of time series classification this can be complicated if there is only one target for the whole time series, but the learning algorithm needs a target at each time step. In this paper a new technique is introduced, which is able to provide appropriate targets at each time step. This allows the use of more complex learning algorithms, which results in faster learning and better generalization. 1. ... (Update)

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BibTeX entry: (Update)

E. Haselsteiner. Dynamic targets - adapting supervised learning to time series classification. In Proceedings of the International Joint Conference on Neural Networks IJCNN'99, Washington D.C. IEEE, 1999. http://citeseer.ist.psu.edu/haselsteiner99dynamic.html More

@misc{ haselsteiner99dynamic,
  author = "E. Haselsteiner",
  title = "Dynamic targets - adapting supervised learning to time series classification",
  text = "E. Haselsteiner. Dynamic targets - adapting supervised learning to time
    series classification. In Proceedings of the International Joint Conference
    on Neural Networks IJCNN'99, Washington D.C. IEEE, 1999.",
  year = "1999",
  url = "citeseer.ist.psu.edu/haselsteiner99dynamic.html" }

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Documents on the same site (http://www.dpmi.tu-graz.ac.at/~hasi/pubs.html): More
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