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Lectures on the Nearest Neighbor Method
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Catalogue Information
Field name
Details
Dewey Class
519.2
Title
Lectures on the Nearest Neighbor Method ([EBook]) / by Gérard Biau, Luc Devroye.
Author
Biau, Gérard
Added Personal Name
Devroye, Luc
author.
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2015.
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2015.
Physical Details
IX, 290 p. 4 illus. in color. : online resource.
Series
Springer Series in the Data Sciences
2365-5674
ISBN
9783319253886
Summary Note
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). .:
Contents note
Part I: Density Estimation -- Order Statistics and Nearest Neighbors -- The Expected Nearest Neighbor Distance -- The k-nearest Neighbor Density Estimate -- Uniform Consistency -- Weighted k-nearest neighbor density estimates.- Local Behavior -- Entropy Estimation -- Part II: Regression Estimation -- The Nearest Neighbor Regression Function Estimate -- The 1-nearest Neighbor Regression Function Estimate -- LP-consistency and Stone's Theorem -- Pointwise Consistency -- Uniform Consistency -- Advanced Properties of Uniform Order Statistics -- Rates of Convergence -- Regression: The Noisless Case -- The Choice of a Nearest Neighbor Estimate -- Part III: Supervised Classification -- Basics of Classification -- The 1-nearest Neighbor Classification Rule -- The Nearest Neighbor Classification Rule. Appendix -- Index. .
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-319-25388-6
Links to Related Works
Subject References:
Mathematics
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Pattern Recognition
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Probabilities
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Probability theory and stochastic processes
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Statistics
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Statistics and Computing/Statistics Programs
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Authors:
Biau, Gérard
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Devroye, Luc
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SpringerLink (Online service)
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Series:
Springer Series in the Data Sciences
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Classification:
519.2
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