The Minimum Description Length Principle and Its Application to Online Learning of Handprinted Characters
Abstract
Our objective is to introduce Rissanen's Minimum Description Length (MDL) Principle as a useful tool for character recognition and present a first application. Using MDL principle, a learning system has been implemented which, after simple training, is able to online recognize th trainer's handwriting in English and Chinese (including several thousand characters) with high success rate. The experimental results conform with the theoretical predictions. We will also try to give an elegant explanation of Rissanen's minimum description length principle (MDLP).
Cite
Text
Gao and Li. "The Minimum Description Length Principle and Its Application to Online Learning of Handprinted Characters." International Joint Conference on Artificial Intelligence, 1989.Markdown
[Gao and Li. "The Minimum Description Length Principle and Its Application to Online Learning of Handprinted Characters." International Joint Conference on Artificial Intelligence, 1989.](https://mlanthology.org/ijcai/1989/gao1989ijcai-minimum/)BibTeX
@inproceedings{gao1989ijcai-minimum,
title = {{The Minimum Description Length Principle and Its Application to Online Learning of Handprinted Characters}},
author = {Gao, Qiong and Li, Ming},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1989},
pages = {843-848},
url = {https://mlanthology.org/ijcai/1989/gao1989ijcai-minimum/}
}