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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
202
Chapter 12
Overview
Nearly all standard statistical classification algorithms assume some
knowledge of the distribution of the random variables used to classify.
In particular, the multivariate normal distribution is frequently
assumed and the training set used only to estimate the mean vectors
and covariance matrix of the populations. While some deviation from
normality is tolerated, large deviations usually cause problems. In
particular, multimodal distributions cause even most nonparametric
methods to fail. One of the beauties of neural networks is that they
can typically handle even the most complex distributions. The three-
(and four- ...
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Publisher Resources

ISBN: 9780080514338