(Enter summary)
Abstract: . To train a classier 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 classication 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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