Multi-Label Network Classification via Weighted Personalized Factorizations.
Ahmed RashedJosif GrabockaLars Schmidt-ThiemePublished in: ICAART (2) (2019)
Keyphrases
- multi label
- multi label classification
- class labels
- image classification
- multi label learning
- text classification
- text categorization
- multi instance
- protein function prediction
- image annotation
- classification accuracy
- graph cuts
- cost sensitive
- support vector
- support vector machine
- classification algorithm
- feature selection
- binary classification
- multiple labels
- complex networks
- feature extraction
- hierarchical text categorization
- semi supervised learning
- e learning
- collective classification
- max margin
- unsupervised learning
- support vector machine svm
- labeled data
- neural network
- supervised learning
- semi supervised
- multi class
- pairwise
- image segmentation
- decision trees
- image processing
- learning algorithm
- machine learning