• Login
    View Item 
    •   DSpace@RPI Home
    • Tetherless World Constellation
    • Tetherless World Publications
    • View Item
    •   DSpace@RPI Home
    • Tetherless World Constellation
    • Tetherless World Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Predicting multi-component mineral compositions with label distribution learning

    Author
    Pan, F.; Morrison, S.M.; Prabhu, Anirudh; Eleish, Ahmed; Gagne, O.C.; Fox, Peter; Downs, R.T.; Hazen, Robert
    Thumbnail
    Other Contributors
    Date Issued
    2018-01-01
    Degree
    Terms of Use
    Full Citation
    Pan F, Morrison SM, Prabhu A, Eleish A, Gagne OC, Fox P, Downs RT, Hazen RM and the Keck Deep-Time Data Infrastructure Team (2018) Predicting multi-component mineral compositions with label distribution learning, 4D Workshop.
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/20.500.13015/6549
    Abstract
    Department
    Publisher
    DCO
    Relationships
    Access
    Collections
    • Tetherless World Publications

    Browse

    All of DSpace@RPICommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2023  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV