LLSF - Learning Label Specific Features for Multi-Label Classifcation

IEEE International Conference on Data Mining 2015 2016 Jun Huang ; Guorong Li ; Qingming Huang ; Xindong Wu

Binary Relevance is a well-known framework for multi-label classification, which considers each class label as a binary classification problem. Many existing multi-label algorithms are constructed within this framework, and utilize identical data representation in the discrimination of all the class labels... (read more)

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