keywords = "genetic algorithms, genetic programming, Brain
computer interface, classification on Raw signal,
stateful representation, statistical signal
primitives",
size = "8 pages",
abstract = "Two families (stateful and stateless) of genetically
programmed classifiers were tested on a five class
brain-computer interface (BCI) data set of raw EEG
signals. The ability of evolved classifiers to
discriminate mental tasks from each other were analysed
in terms of accuracy, precision and recall. A model
describing the dynamics of state usage in stateful
programs is introduced. An investigation of
relationships between the model attributes and
associated classification results was made. The results
show that both stateful and stateless programs can be
successfully evolved for this task, though stateful
programs start from lower fitness and take longer to
evolve",
notes = "GECCO-2008 A joint meeting of the seventeenth
international conference on genetic algorithms
(ICGA-2008) and the thirteenth annual genetic
programming conference (GP-2008).
ACM Order Number 910081. Also known as \cite{1389326}",