CLUSTER, CLASSIFY, REGRESS: A GENERAL METHOD FOR LEARNING DISCONTINUOUS FUNCTIONS (vol 1, pg 491, 2019)

Journal article

Open access

Peer reviewed

David E. Bernholdt, Mark R. Cianciosa, Clement Etienam, David L. Green, Kody J. H. Law and Jin M. Park

Foundations of data science, Vol.2(1), pp.81-81

01/03/2020

Abstract

Mathematics

Mathematics, Applied

Physical Sciences

Science & Technology

Statistics & Probability

url

https://doi.org/10.3934/fods.2020005View

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Title: CLUSTER, CLASSIFY, REGRESS: A GENERAL METHOD FOR LEARNING DISCONTINUOUS FUNCTIONS (vol 1, pg 491, 2019)
Creators - without role: David E. Bernholdt - Oak Ridge Natl Lab, Comp Sci & Math Div, Oak Ridge, TN USA
Mark R. Cianciosa - Oak Ridge Natl Lab, Fus Energy Div, Oak Ridge, TN 37831 USA
Clement Etienam - University of Manchester
David L. Green - Oak Ridge Natl Lab, Fus Energy Div, Oak Ridge, TN 37831 USA
Kody J. H. Law - University of Manchester
Jin M. Park - Oak Ridge Natl Lab, Fus Energy Div, Oak Ridge, TN 37831 USA
Publication Details: Foundations of data science, Vol.2(1), pp.81-81
Publisher: Amer Inst Mathematical Sciences-Aims
Number of pages: 1
Identifiers: 9943298708331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article