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Abstract

Collected data have been evaluated and analyzed with the methods indicated below, using different mathematical/statistical tools, e. g. Matlab, Weka (machine learning software), HTK (Hidden Markov Model toolkit), RapidMiner (formerly known as YALE – Yet Another Learning Environment), the Unscrambler (software package for multivariate analysis and experimental design), LIBSVM (Library for Support Vector Machines), and GHMM (General Hidden Markov Model library).

Keywords

Hide Markov Model Linear Discriminant Analysis Difference Threshold Weber Fraction Just Noticeable Difference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Vieweg+Teubner | GWV Fachverlage GmbH 2010

Authors and Affiliations

  • Andreas Riener

There are no affiliations available

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