@inbook{0a609cd8938b4f57be0ce628c3560bf2,
title = "Multicategory Bayesian decision using a three-layer neural network",
abstract = "We realize a multicategory Bayesian classifier by a three-layer neural network having rather a small number of hidden layer units. The state-conditional probability distributions are supposed to be multivariate normal distributions. The network has direct connections between the input and output layers. Its outputs are monotone mappings of posterior probabilities. Hence, they can be used as discriminant functions and, in addition, the posterior probabilities can be easily retrieved from the outputs.",
author = "Yoshifusa Ito and Cidambi Srinivasan",
year = "2003",
doi = "10.1007/3-540-44989-2\_31",
language = "English",
isbn = "3540404082",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "253--261",
editor = "Okyay Kaynak and Ethem Alpaydin and Erkki Oja and Lei Xu",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}