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Time Series Classification Using Adaptive Dynamic Targets  (Make Corrections)  
Ernst Haselsteiner



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Abstract: . To train a classi er with supervised learning appropriate targets have to be provided. In the case of time series 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. As a result of this technique the impact on classi cation of each time step is determined, which is very useful in applying the... (Update)

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BibTeX entry:   (Update)

@misc{ haselsteiner-time,
  author = "Ernst Haselsteiner",
  title = "Time Series Classification Using Adaptive Dynamic Targets",
  url = "citeseer.ist.psu.edu/405214.html" }
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Improving Learning by Using Dynamic Targets - Haselsteiner   (Correct)
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