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Filtering by: Advisor Spies, Thomas A. Remove constraint Advisor: Spies, Thomas A. Resource Type Honors College Thesis Remove constraint Resource Type: Honors College Thesis

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  • Comparison of machine learning methods for predicting bird distributions

    Creator:
    Bikkina, Vinay
    Abstract:
    The purpose of this study is to explore kernel machine learning methods for species distribution modeling. Previous studies have shown the success of Generalized Boosted Regression Models, however kernel methods have been unexplored for species distribution modeling. Using the eBird dataset, four machine learning methods were tested for accuracy and...
    Resource Type:
    Honors College Thesis
    Full Text:
    presented on June 4, 2014. Title: A Comparison of Machine Learning Methods for Predicting Bird