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Showing 1 to 2 of 2 for “"Multi-label learning algorithm."”.
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Advanced topics in multi-label learning
Multi-label learning, in which each instance can belong to multiple labels simultaneously, has significantly attracted the attention of researchers as a result of its wide range of applications, which range from document classification and automatic image annotation to video annotation. Many …
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Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications
… problems in operations research, machine learning, and statistics exhibit natural formulations as cardinality or rank constrained optimization problems. Sparse solutions are desirable for their interpretability and storage benefits. Moreover, in the machine learning setting, sparse …