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1. Cost-Sensitive Machine Learning

   Edited by Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao

   Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

   In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training data Cost of data annotation/labeling and cleaning Computational cost for model fitting, validation, and testing Cost of collecting...

   Published December 18th 2011 by CRC Press