Random Forests for Feature Selection in Non-invasive Brain-Computer Interfacing.

David Steyrl Reinhold Scherer Gernot R. Müller-Putz

Published in: CHI-KDD (2013)

Keyphrases

random forests
feature selection
random forest
decision trees
logistic regression
machine learning algorithms
ensemble methods
feature set

decision tree ensembles
tree ensembles
classification and regression trees
classification accuracy
brain computer interface
support vector
randomized trees
regression trees

text categorization
naive bayes
feature extraction
machine learning
information gain
multi class
support vector machine
regression forests

image processing
data sets
multi task
learning algorithm
feature subset
relational data
feature space
knn