Cost

In Markov decision processes , negative rewards are often expressed as costs. A reward of − x is expressed as a cost of x. In supervised learning, cost is used as a synonym for loss.

Cross References

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School of Computer Science and Engineering, University of New South Wales, Sydney, Australia, 2052
Claude Sammut
Faculty of Information Technology, Clayton School of Information Technology, Monash University, P.O. Box 63, Victoria, Australia, 3800
Geoffrey I. Webb

(2011). Cost. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_178

DOI: https://doi.org/10.1007/978-0-387-30164-8_178
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30768-8
Online ISBN: 978-0-387-30164-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering