ML-KNN: A lazy learning approach to multi-label learning
作者： Min-Ling Zhang , Zhi-Hua Zhou
DOI: 10.1016/J.PATCOG.2006.12.019
关键词: Supervised learning 、 k-nearest neighbors algorithm 、 Stability (learning theory) 、 Pattern recognition 、 Machine learning 、 Multi-label classification 、 Lazy learning 、 Computer science 、 Classifier chains 、 Instance-based learning 、 Set (abstract data type) 、 Training set 、 Artificial intelligence
摘要: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In multi-label …
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sci-hub.se 参考文章(22)
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