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Interactive Machine Learning in Data Exploitation
Found in: Computing in Science & Engineering
By Reid Porter,James Theiler,Don Hush
Issue Date:September 2013
pp. 12-20
The goal of interactive machine learning is to help scientists and engineers exploit more specialized data from within their deployed environment in less time, with greater accuracy and fewer costs. A basic introduction to the main components is provided h...