Combining Multiple Network Features for Mild Cognitive Impairment Classification.
Lipeng WangFei FeiBiao JieDaoqiang ZhangPublished in: ICDM Workshops (2014)
Keyphrases
- combining multiple
- multiple classifiers
- feature vectors
- classification accuracy
- feature extraction
- feature set
- feature space
- feature selection
- individual classifiers
- text classification
- extracted features
- class labels
- decision trees
- pattern classification
- svm classifier
- feature subset
- support vector machine svm
- combining classifiers
- high degree of accuracy
- support vector
- wide range
- normal controls
- naive bayes
- machine learning
- high dimensionality
- svm classification
- mild cognitive impairment