This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Grard Biau is a professor at Universit Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal). Lectures on the Nearest Neighbor Method. Available from: https://www.researchgate.net/publication/308263603_Lectures_on_the_Nearest_Neighbor_Method [accessed Jul 12 2018].
CITATION STYLE
Biau, G., & Devroye, L. (2015). Lectures on the Nearest Neighbor Method (pp. 1–2). Springer International Publishing. Retrieved from http://link.springer.com/10.1007/978-3-319-25388-6
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