EEG-based mild depressive detection using feature selection methods and classifiers.
Xiaowei LiBin HuShuting SunHanshu CaiPublished in: Comput. Methods Programs Biomed. (2016)
Keyphrases
- training data
- support vector
- detection algorithm
- automatic detection
- false alarms
- machine learning algorithms
- detection method
- classifier ensemble
- detection rate
- data sets
- boosted classifiers
- signal processing
- object detection
- training set
- svm classifier
- adaboost classifier
- event related potentials
- support vector machine classifier
- multiple classifiers
- kernel support vector machines
- majority voting
- supervised classification
- brain computer interface
- false positives
- training samples
- anomaly detection
- decision trees