The University of California, Davis was awarded a $500,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will support research using K-nearest neighbors methods for functional estimation and machine learning from October 1, 2021 to September 30, 2024. Funding will allow researchers at UC Davis to advance the development and use of computational techniques for discovering patterns in complex data, with a focus on nonparametric methods like KNN that have wide applications in science and engineering. Outcomes will include new algorithms and tools enabling knowledge discovery through data-driven modeling and prediction. Research outcomes may accelerate innovation across various domains by powering machine learning applications with improved functional estimation capabilities.
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