Probabilistic Margin-Aware Multi-Label Feature Selection by Preserving Spatial Consistency.
Yu YinShuai AnJun WangJinmao WeiJianhua RuanPublished in: IJCNN (2019)
Keyphrases
- multi label
- text categorization
- feature selection
- text classification
- multi label classification
- support vector
- multi label learning
- binary classification
- feature selections
- multi instance
- image annotation
- graph cuts
- image classification
- learning tasks
- knn
- training set
- naive bayes
- bayesian networks
- feature space
- class labels
- protein function prediction
- k nearest neighbor
- multi class
- multiple labels
- visual features
- cross validation
- model selection
- cost sensitive
- multi task
- probabilistic model
- binary classifiers
- label assignment
- data sets
- max margin
- classification accuracy
- semi supervised learning
- unsupervised learning
- semi supervised
- text mining