This will be a short presentation of the basic concept of my PhD thesis. Motivated by the problems arising in adaptive classification of time series data. The goal is to use mathematical means for
- modeling and comparing a group of classifiers
- defining and finding sparse classifiers for multi-sensor data as EEG
- optimizing their parameters and
- elegant retraining