Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2.
Roberto Becerra-GarcíaGonzalo Joya CaparrósRodolfo Valentin García-BermúdezLuís VelázquezRoberto RodríguezCarmen PinoPublished in: IWANN (2) (2013)
Keyphrases
- random forest
- decision trees
- multilayer perceptron
- fold cross validation
- feature set
- ensemble classifier
- random forests
- neural network
- cancer classification
- classification accuracy
- feature ranking
- rotation forest
- classification models
- ensemble learning
- class labels
- machine learning algorithms
- ensemble methods
- multi label
- classification algorithm
- decision tree learning algorithms
- artificial neural networks
- feature selection
- support vector
- feature extraction
- radial basis function
- machine learning
- feature space
- base classifiers
- back propagation
- naive bayes
- majority voting
- svm classifier
- support vector machine
- training set
- training samples
- extracted features
- data points
- machine learning methods
- feature subset
- supervised learning
- classifier combination
- individual classifiers
- training data
- text classification
- pattern recognition
- eye movements
- logistic regression
- benchmark datasets
- feature vectors
- neural network model
- multi class
- computer vision
- nearest neighbor classifiers
- learning algorithm
- image classification