Active Learning in Multilayer Perceptrons
Abstract
We propose an active learning method with hidden-unit reduction. which is devised specially for multilayer perceptrons (MLP). First, we review our active learning method, and point out that many Fisher-information-based methods applied to MLP have a critical problem: the information matrix may be singular. To solve this problem, we derive the singularity condition of an information ma(cid:173) trix, and propose an active learning technique that is applicable to MLP. Its effectiveness is verified through experiments.
Cite
Text
Fukumizu. "Active Learning in Multilayer Perceptrons." Neural Information Processing Systems, 1995.Markdown
[Fukumizu. "Active Learning in Multilayer Perceptrons." Neural Information Processing Systems, 1995.](https://mlanthology.org/neurips/1995/fukumizu1995neurips-active/)BibTeX
@inproceedings{fukumizu1995neurips-active,
title = {{Active Learning in Multilayer Perceptrons}},
author = {Fukumizu, Kenji},
booktitle = {Neural Information Processing Systems},
year = {1995},
pages = {295-301},
url = {https://mlanthology.org/neurips/1995/fukumizu1995neurips-active/}
}