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POINTS BASED SYSTEM APPENDIX 8 (NOV 2012) TIER 4 (GENERAL) STUDENT SELF-ASSESSMENT This form is for use outside the UK only This form is provided free of charge. For official use only READ THIS FIRST
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Multi-instance multi-label learning is a machine learning task where each instance is associated with multiple labels. It is used to classify instances that have multiple class labels simultaneously.
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Multi-instance multi-label learning is not filled out, but rather implemented using machine learning algorithms that are trained on labeled datasets.
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The purpose of multi-instance multi-label learning is to accurately classify instances that have multiple class labels, which is useful in various applications such as image recognition, text categorization, and bioinformatics.
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