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  MLSP Competition, 2010: Description of first place method

Leiva, J., & Martens, S. (2010). MLSP Competition, 2010: Description of first place method. In 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) (pp. 112-113). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BE6C-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-7F27-5
Genre: Conference Paper

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 Creators:
Leiva, JM, Author              
Martens, SMM1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Our winning approach to the 2010 MLSP Competition is based on a generative method for P300-based BCI decoding, successfully applied to visual spellers. Here, generative has a double meaning. On the one hand, we work with a probability density model of the data given the target/non target labeling, as opposed to discriminative (e.g. SVM-based) methods. On the other hand, the natural consequence of this approach is a decoding based on comparing the observation to templates generated from the data.

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 Dates: 2010-09
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1109/MLSP.2010.5589243
BibTex Citekey: 6434
 Degree: -

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Title: 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
Place of Event: Kittilä, Finland
Start-/End Date: 2010-08-29 - 2010-09-01

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Title: 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 112 - 113 Identifier: ISBN: 978-1-4244-7877-4