Learning with Complex Performance Measures : Theory, Algorithms and Applications
We consider supervised learning problems, where one is given objects with labels, and the goal is to learn a model that can make accurate predictions on new objects. These problems abound in applications, ranging from medical diagnosis to information retrieval to computer vision. Examples include bi...
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| Language: | en_US |
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2017
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| Online Access: | http://etd.iisc.ernet.in/handle/2005/2878 http://etd.ncsi.iisc.ernet.in/abstracts/3732/G27574-Abs.pdf |