Feature Selection Based on SVM Significance Maps for Classification of Dementia.
Esther BronMarion SmitsJohn van SwietenWiro J. NiessenStefan KleinPublished in: MLMI (2014)
Keyphrases
- feature selection
- support vector
- support vector machine
- support vector machine svm
- classification accuracy
- feature space
- svm classifier
- classification models
- text classification
- classification algorithm
- machine learning
- svm classification
- small sample
- classification method
- generalization ability
- feature extraction
- feature selection algorithms
- feature set
- feature vectors
- high dimensionality
- multi class
- irrelevant features
- feature ranking
- fold cross validation
- feature subset
- feature reduction
- classification performances
- support vector machine classifiers
- high classification accuracy
- training set
- knn
- image classification
- kernel methods
- text categorization
- fuzzy support vector machine
- multi class classification
- selected features
- bayes classifier
- unbalanced data
- improves the classification accuracy
- pattern recognition
- high dimension
- method for feature selection
- model selection
- discriminative features
- decision boundary
- support vectors
- kernel function
- hyperplane
- support vector classification
- svm rfe
- histogram intersection kernel
- supervised learning
- dimensionality reduction
- ensemble classifier
- k nearest neighbor
- cross validation