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Filtering by: Committee Member Betts, Matthew Date issued sim 2015-06-03

Creating, Understanding and Applying Machine Learning Models of Multiple Species

Creator:

Griffioen, Arwen Twinkle E.

Abstract:

Many problems in ecology and conservation biology can be formulated and solved using machine learning algorithms for multi-label classification. This dissertation addresses three topics related to predicting the distributions of multiple species. It improves existing methods and proposes a new modeling paradigm to address the multi-species, multi-label problem. The first...

Resource Type:

Dissertation