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Abstract: There are many learning problems for which the examples given by the teacher are ambiguously labeled. In this thesis, we will examine one framework of learning from ambiguous examples known as Multiple-Instance learning. Each example is a bag, consisting of any number of instances. A bag is labeled negative if all instances in it are negative. A bag is labeled positive if at least one instance in it is positive. Because the instances themselves are not labeled, each positive bag is an ... (Update)
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BibTeX entry: (Update)
Maron, O. (1998). Learning from ambiguity. PhD dissertation, Dept. of Electrical Engineering and Computer Science, M.I.T. http://citeseer.ist.psu.edu/maron98learning.html More
@techreport{ maron98learning,
author = "Oded Maron",
title = "Learning from ambiguity",
number = "AITR-1639",
pages = "119",
year = "1998",
url = "citeseer.ist.psu.edu/maron98learning.html" }
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