Dimensionality reduction for EEG classification using Mutual Information and SVM.
Carlos Guerrero-MosqueraMichel VerleysenÁngel Navia-VázquezPublished in: MLSP (2011)
Keyphrases
- mutual information
- support vector machine svm
- dimensionality reduction
- feature selection
- support vector
- support vector machine
- feature extraction
- high dimensionality
- classification algorithm
- feature space
- svm classifier
- classification method
- classification accuracy
- feature vectors
- information theoretic
- eeg signals
- multi class classification
- pattern recognition
- improves the classification accuracy
- text classification
- generalization ability
- training set
- pattern classification
- image classification
- support vector machine classifiers
- svm classification
- conditional mutual information
- decision boundary
- high classification accuracy
- structured output
- dimensionality reduction methods
- multi class svm
- image registration
- multi class
- knn
- machine learning
- k nearest neighbor
- principal components
- cost sensitive
- hyperplane
- multiple kernel learning
- training data
- neural network
- sleep stage
- dimension reduction
- class labels
- high dimensional data
- text categorization
- feature set
- high dimensional