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Primarily, the need for automatic text categorization and medical diagnosis was the start of Multi-label classification. Multi-label classification received a great attention and used in several real world applications The demand of its applications increased to cover additional fields like functional genomics, music, biology, scene, video etc. For example,(More)
Multi-label learning is the term used to express a type of supervised learning that requires classification algorithms to learn from a set of examples; each example can belong to one or multiple labels. The learning task consists of breaking the multi-label classification problem into several single label classification problems. This learning process(More)
The role of investment has been widely recognized in economic growth process. However domestic investment, especially in developing countries, is usually insufficient to spur growth. Developing countries have therefore embarked on conscious efforts at attracting foreign investments to fill the gaps between domestic and desired investments. This study(More)
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