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Multi-instance learning by treating instances as non-I.I.D. samples

Clinical Orthopaedics and Related Research, no. null (2009): 1249-1256

Cited: 393|Views92
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Abstract

Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely independent in real tasks, and a better performance can be expected if the instances are treated in an non-i.i.d. way that exploits relations among instances. In this...More

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