Classification Active Learning Based on Mutual Information

Classification Active Learning Based on Mutual Information

Selecting a subset of samples to label from a large pool of unlabeled data points, such that a sufficiently accurate classifier is obtained using a reasonably small training set is a challenging, yet critical problem. Challenging, since solving this problem includes cumbersome combinatorial computat...

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Bibliographic Details
Main Authors: Jamshid Sourati, Murat Akcakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus
Format: Article
Language:English
Published: MDPI AG 2016-02-01
Series:Entropy
Subjects:
active learning
mutual information
submodular maximization
classification
Online Access:http://www.mdpi.com/1099-4300/18/2/51

Internet

http://www.mdpi.com/1099-4300/18/2/51

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