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The estimation of a probability density function from measurements corrupted by Poisson noise (Corresp.)

✍ Scribed by Wise, G.; Traganitis, A.; Thomas, J.

Book ID
114634668
Publisher
IEEE
Year
1977
Tongue
English
Weight
398 KB
Volume
23
Category
Article
ISSN
0018-9448

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## Abstract Feed‐forward neural networks have been used for pattern recognition, because they have an ability to estimate __a posteriori__ probability. This paper investigates the ability to estimate the __a posteriori__ probability by using one‐dimensional Gaussian distributions, uniform distribut