Cited by 22,066Machine Learning and AlgorithmsData Mining and Machine Learning ApplicationsNeural Networks and Applications

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Book Review: Pattern Recognition and Machine Learning

Nasrabadi, Nasser M.·2007·Journal of Electronic Imaging

Abstract

This PDF file contains the editorial “Pattern Recognition and Machine Learning” for JEI Vol. 16 Issue 04

Overview

Integrity signals

Registry

Crossref · 10.1117/1.2819119

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Verification

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Citations

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Show all 1 references

Research works printed but not linked: 4

  1. J. A. K. Suykens, T. V. Gestel, J. D. Brabanter, B. D. Moor, and J. Vandewalle , Least Squares Support Vector Machines , World Scientific, New Jersey (2002). · DOI
  2. C. P. Robert and G. Casella , Monte Carlo Statistical Methods , Springer Verlag, New York (2004). · DOI
  3. T. Hastie, R. Tibshirani, and J. Friedman , The Elements of Statistical Learning , Springer Verlag, New York (2002). · DOI · Paper page
  4. D. J. C. Mackay , Information Theory, Inference, and Learning Algorithms , Cambridge University Press, Cambridge, UK (2003).

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Metadata

Authors
Nasrabadi, N. M.
Affiliations
West Virginia University (US)
Corresponding author
Nasrabadi, Nasser M.
Venue
Journal of Electronic Imaging
Published
2007-10-01
Volume
16
Issue
04
ISSN
  • 1017-9909 (ISSN-L)
  • 1560-229X
OpenAlex
W1663973292
Cited by
22,066
References
1
Citations by year
2026: 63 · 2025: 80 · 2024: 109 · 2023: 131 · 2022: 248 · 2021: 1973 · 2020: 2341 · 2019: 1955 · 2018: 1709 · 2017: 1322 · 2016: 1434 · 2015: 1919 · 2014: 1728 · 2013: 1449 · 2012: 1434
Type
book review
Language
en
Open access
closed
Locations
Journal of Electronic Imaging (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
  • Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Keywords
pattern recognition, machine learning

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