Factoring Networks by a Statistical Method
Abstract
We show that it is possible to factor a multilayered classification network with a large output layer into a number of smaller networks, where the product of the sizes of the output layers equals the size of the original output layer. No assumptions of statistical independence are required.
Cite
Text
Morgan and Bourlard. "Factoring Networks by a Statistical Method." Neural Computation, 1992. doi:10.1162/NECO.1992.4.6.835Markdown
[Morgan and Bourlard. "Factoring Networks by a Statistical Method." Neural Computation, 1992.](https://mlanthology.org/neco/1992/morgan1992neco-factoring/) doi:10.1162/NECO.1992.4.6.835BibTeX
@article{morgan1992neco-factoring,
title = {{Factoring Networks by a Statistical Method}},
author = {Morgan, Nelson and Bourlard, Hervé},
journal = {Neural Computation},
year = {1992},
pages = {835-838},
doi = {10.1162/NECO.1992.4.6.835},
volume = {4},
url = {https://mlanthology.org/neco/1992/morgan1992neco-factoring/}
}