iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.
Xiang ChengShu-Guang ZhaoXuan XiaoKuo-Chen ChouPublished in: Bioinform. (2017)
Keyphrases
- multi label
- class labels
- multi label classification
- binary classifiers
- binary classification
- training data
- text categorization
- classification algorithm
- image annotation
- multiple labels
- multi instance
- multi label learning
- labeled data
- graph cuts
- training examples
- learning tasks
- classifier training
- supervised learning
- image classification
- protein function prediction
- text classification
- support vector
- training set
- data samples
- semi supervised learning
- information retrieval
- feature space
- training dataset
- base classifiers
- semi supervised
- feature set
- support vector machine
- multi class classification
- text classifiers
- active learning
- prior knowledge
- multi class
- multiclass classification
- learning problems
- computer vision
- training samples