Generative Multiple-Instance Learning Models For Quantitative Electromyography

UAI, 2013.

Cited by: 9|Views34
EI

Abstract:

We present a comprehensive study of the use of generative modeling approaches for Multiple-Instance Learning (MIL) problems. In MIL a learner receives training instances grouped together into bags with labels for the bags only (which might not be correct for the comprised instances). Our work was motivated by the task of facilitating th...More

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