2011
JMLR
JMLR 2011
MULAN: A Java Library for Multi-Label Learning
Abstract
MULAN is a Java library for learning from multi-label data. It offers a variety of classification, ranking, thresholding and dimensionality reduction algorithms, as well as algorithms for learning from hierarchically structured labels. In addition, it contains an evaluation framework that calculates a rich variety of performance measures. [abs] [ pdf ][ bib ] [ code ] © JMLR 2011. (edit, beta)
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Keyword Pioneer
— hierarchical multi-label
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Hot Topic Early Bird
— multi-label classification
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio