Machine Learning and Data Mining


Associate Editors:

    Yufeng Liu, University of North Carolina, Chapel Hill
    Annie Qu, University of California, Irvine

The NEJSDS Machine Learning and Data Mining Section aims to disseminate original methodological, theoretical and computational research on statistical approaches for machine learning and data mining. The section seeks articles in both foundations of machine learning and artificial intelligence as well as novel applications across diverse scientific disciplines. The section also welcomes review articles on cutting-edge topics.

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