Local and global feature selection for multilabel classification with binary relevance : An empirical comparison on flat and hierarchical problems
作者： André Melo , Heiko Paulheim
DOI: 10.1007/S10462-017-9556-4
关键词: Relevance (information retrieval) 、 Transformation (function) 、 Set (abstract data type) 、 Data mining 、 Multiclass classification 、 Selection (genetic algorithm) 、 Classifier chains 、 Machine learning 、 Artificial intelligence 、 Binary number 、 Feature selection 、 Computer science
摘要: … Section 2 gives an introduction to multi-label classification, feature selection, and the evaluation metrics used in this paper. Section 3 introduces related works, parts of which are also …
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