@inproceedings{3dbb427a288947d4b741017906264777,
title = "ELMDF: A new classification algorithm based on Data Field",
abstract = "In this paper, a novel classification algorithm, ELMDF (Extreme Learning Machine based on Data Field), is proposed to solve the problem of estimating the number of hidden layer neurons in typical ELM. For constructing ELMDF, a new theory based on data field, FMDF (Fundamental Matrix of Data Field) is proposed in this paper. The breast cancer cell image dataset, and the genome dataset are used to test and illustrate the proposed method. The experimental case demonstrates that ELMDF performs better than other six typical supervised learning algorithms on different datasets.",
keywords = "Data Field, ELM, ELMDF, FMDF, Neural Network",
author = "Shuliang Wang and Dakui Wang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 ; Conference date: 02-11-2014 Through 05-11-2014",
year = "2014",
month = dec,
day = "29",
doi = "10.1109/BIBM.2014.6999278",
language = "English",
series = "Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "28--33",
editor = "Huiru Zheng and Hu, {Xiaohua Tony} and Daniel Berrar and Yadong Wang and Werner Dubitzky and Jin-Kao Hao and Kwang-Hyun Cho and David Gilbert",
booktitle = "Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014",
address = "United States",
}
