Empirical Inference
Conference Paper
2010
MLSP Competition, 2010: Description of first place method
WebOur 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.
| Author(s): | Leiva, JM. and Martens, SMM. |
| Links: | |
| Journal: | Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) |
| Pages: | 112-113 |
| Year: | 2010 |
| Month: | September |
| Day: | 0 |
| Publisher: | IEEE |
| BibTeX Type: | Conference Paper (inproceedings) |
| Address: | Piscataway, NJ, USA |
| DOI: | 10.1109/MLSP.2010.5589243 |
| Event Name: | 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) |
| Event Place: | Kittilä, Finland |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| ISBN: | 978-1-4244-7877-4 |
| Language: | en |
| Organization: | Max-Planck-Gesellschaft |
| School: | Biologische Kybernetik |
BibTeX
@inproceedings{6434,
title = {MLSP Competition, 2010: Description of first place method},
journal = {Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)},
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.},
pages = {112-113},
publisher = {IEEE},
organization = {Max-Planck-Gesellschaft},
school = {Biologische Kybernetik},
address = {Piscataway, NJ, USA},
month = sep,
year = {2010},
author = {Leiva, JM. and Martens, SMM.},
doi = {10.1109/MLSP.2010.5589243},
month_numeric = {9}
}