Lectures on the Nearest Neighbor Method
Book information
Description
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. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
Similar books
A Probabilistic Theory of Pattern Recognition
1996 · PDF
A Probabilistic Theory of Pattern Recognition
1996 · PDF
Lecture Notes on Bucket Algorithms
1986 · PDF
Non-Uniform Random Variate Generation
1986 · PDF
Mathematics and Computer Science: Algorithms, Trees, Combinatorics and Probabilities
2000 · PDF
Proceedings of COMPSTAT'2010: 19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers
2010 · PDF
Recent Developments in Applied Probability and Statistics: Dedicated to the Memory of Jürgen Lehn
2010 · PDF
Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006. Proceedings
2006 · PDF