Learning from multi-label data with interactivity constraints
作者： Noureddine-Yassine Nair-Benrekia , Pascale Kuntz , Frank Meyer
DOI: 10.1016/J.ESWA.2015.03.006
关键词: Interactive Learning 、 Machine learning 、 Artificial intelligence 、 Cluster analysis 、 Data mining 、 Random forest 、 Interactivity 、 Classifier (UML) 、 Ranking 、 Computer science
摘要: … balanced clustering algorithm such that each child node is associated with a different cluster. … a recursive process forwarding this instance to the multi-label classifiers of the child nodes. …
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