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Multiple-instance learning algorithm based on semi
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MissSVM is a package for solving multi-instance learning problems using semi-supervised support vector machines. The purpose of MissSVM is to show that if the assumption of i.i.d. instances were taken, multi-instance learning can be viewed as a special case of semi-supervised learning, and the field of multi-instance learning might be merged into the field of semi-supervised learning. Thus, future multi-instance learning research should assume only i.i.d. bags and avoid the assumption of i.i.d. instances
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