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Abstract: We give a review of basic statistical and neural techniques for classification. Statistical techniques are based on the idea of estimating class-conditional likelihoods and using Bayes rule to convert these to posterior class probabilities whereas neural techniques estimate directly the posteriors. Statistical techniques include (i) Parametric (Gaussian) Bayes classifiers, (ii) Nonparametric kernel-based density estimators like k-nearest neighbor and Parzen windows, and (iii) mixtures of... (Update)
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BibTeX entry: (Update)
@misc{ alpaydin-comparison,
author = "Ethem Alpaydin and Fikret Gürgen",
title = "Comparison of Statistical and Neural Classifiers and Their Applications
to Optical Character Recognition and Speech Classification",
url = "citeseer.ist.psu.edu/alpaydin96comparison.html" }
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Documents on the same site (http://www.cmpe.boun.edu.tr/~ethem/): More
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Selective Attention for Handwritten Digit Recognition - Alpaydin (1996) (Correct)
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