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Filtering by: Committee Member Smythe, Robert T. Remove constraint Committee Member: Smythe, Robert T. Creator Taylor, Aimee E. Remove constraint Creator: Taylor, Aimee E.

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  • Statistical enhancement of support vector machines

    Creator:
    Taylor, Aimee E.
    Abstract:
    Support Vector Machines (SVM) and Random Forests (RF) have consistently outperformed other machine learning algorithms on a variety of problems. SVM can be used for classification and regression on many types of data (e.g. nonlinear, high dimensional), but cannot handle missing or mixed data. This research implements a permutation-based variable...
    Resource Type:
    Dissertation