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Book Review: Pattern Recognition and Machine Learning
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This PDF file contains the editorial “Pattern Recognition and Machine Learning” for JEI Vol. 16 Issue 04
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“This algorithm for optimization-closely related to the Expectation-Maximization algorithm-only guarantees convergence to a local minimum (Dempster, Laird, and Rubin 1977;Bishop 2006)”
From Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013) · cites this paper as Bishop 2006
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Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
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- 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
- C. P. Robert and G. Casella , Monte Carlo Statistical Methods , Springer Verlag, New York (2004). · DOI
- T. Hastie, R. Tibshirani, and J. Friedman , The Elements of Statistical Learning , Springer Verlag, New York (2002). · DOI · Paper page
- 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
- Publisher
- SPIE-Intl Soc Optical Eng
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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