Multi-label feature selection by strongly relevant label gain and label mutual aid

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Fuhui Long, Chen Ding · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 10.5K citations

Computing, Computer Science, Data Mining +16

Multiple Comparisons among Means

Olive Jean Dunn · Journal of the American Statistical Association · 1961 · 4.5K citations

Natural Sciences, Biostatistics, Experimental Design +16

ML-KNN: A lazy learning approach to multi-label learning

Min-Ling Zhang, Zhi‐Hua Zhou · Pattern Recognition · 2007 · 3.5K citations

Computing, Computer Science, Machine Learning +5

A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings

Milton Friedman · The Annals of Mathematical Statistics · 1940 · 2.7K citations · Full text

Natural Sciences, Biostatistics, Statistics +9

Learning multi-label scene classification

Matthew Boutell, Jiebo Luo, Xipeng Shen et al. · Pattern Recognition · 2004 · 2.3K citations

Computing, Computer Science, Computer Vision +11