Bootstrapped Dendritic Classifiers for Alzheimer's Disease classification on MRI features.
Darya ChyzhykPublished in: KES (2012)
Keyphrases
- feature set
- classification models
- svm classifier
- classification method
- classification process
- extracted features
- class labels
- feature vectors
- classification accuracy
- feature extraction
- multiple classifiers
- support vector machine classifiers
- feature reduction
- feature values
- input features
- support vector
- feature weights
- classification systems
- feature selection
- feature subset
- training set
- machine learning approaches
- support vector machine
- image classification
- decision tree classifiers
- ensemble classifier
- feature ranking
- decision trees
- classification rate
- feature space
- training samples
- feature selection algorithms
- training data
- machine learning algorithms
- weak classifiers
- text classification
- support vector machine svm
- classifier combination
- majority voting
- classification algorithm
- supervised classification
- supervised learning
- discriminative classifiers
- highly discriminative
- classification performances
- train a support vector machine
- svm classification
- bayes classifier
- decision boundary
- roc curve
- weak learners
- multiple classifier systems
- training examples
- bayesian classifier
- supervised classifiers
- naive bayes classifier
- magnetic resonance imaging
- classification decisions
- linear svm
- individual classifiers
- fold cross validation
- trained classifiers