Lectures on the Nearest Neighbor Method

  • Biau G
  • Devroye L
N/ACitations
Citations of this article
56Readers
Mendeley users who have this article in their library.

Abstract

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].

Author supplied keywords

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free