22 search results - page 1 / 5 » Multitask Learning for Brain-Computer Interfaces |
JMLR
2010
12 years 11 months ago
2010
Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity to record subjectspecific calibration data prior to actual use of...
JUCS
2006
13 years 4 months ago
2006
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
NIPS
2004
13 years 6 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...