Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study.
Brian GallagherTina Eliassi-RadPublished in: SNAKDD (2008)
Keyphrases
- class labels
- feature vectors
- classification accuracy
- feature set
- classification method
- feature extraction
- classification models
- classification process
- supervised learning
- feature space
- svm classifier
- extracted features
- pattern recognition
- benchmark datasets
- training set
- feature representation
- automatic classification
- extracting features
- feature selection algorithms
- feature analysis
- support vector machine
- training data
- labeling process
- decision trees
- category labels
- features extraction
- complex networks
- false positives
- machine learning
- manual labeling
- feature reduction
- support vector
- image features
- text classification
- classification algorithm
- high dimensionality
- training examples
- active learning
- sparse representation
- face recognition
- training documents
- multiple labels
- textural features
- gabor filters
- labeled data
- label information
- feature values
- semi supervised
- eeg signals
- image classification
- support vector machine svm