A Semi-supervised Learning Method for Motility Disease Diagnostic
نویسندگان
چکیده
This work tackles the problem of learning a robust classification function from a very small sample set when a related but unlabeled data set is provided. To this end we define a new semi-supervised method that is based on a stability criterion. We successfully apply our proposal in the specific case of automatic diagnosis of intestinal motility disease using video capsule endoscopy.
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تاریخ انتشار 2007