Feature selection for multi-label naive Bayes classification.
Min-Ling ZhangJosé María Peña SánchezVíctor RoblesPublished in: Inf. Sci. (2009)
Keyphrases
- multi label
- naive bayes classification
- text categorization
- naive bayes
- feature selection
- text classification
- text classifiers
- naive bayes classifier
- multi label classification
- uncertain data
- image annotation
- feature selections
- knn
- k nearest neighbor
- classification accuracy
- classification algorithm
- machine learning
- document classification
- unlabeled data
- graph cuts
- labeled data
- independence assumption
- text documents
- feature subset
- image classification
- decision trees
- class labels
- multi class
- data sets
- training data
- feature space
- prior knowledge
- high dimensionality
- support vector machine
- dimensionality reduction
- active learning
- base classifiers
- face recognition
- feature set
- information retrieval
- unsupervised learning