ELMDF: A new classification algorithm based on Data Field

Shuliang Wang; Dakui Wang

doi:10.1109/BIBM.2014.6999278

ELMDF: A new classification algorithm based on Data Field

Shuliang Wang
, Dakui Wang

School of Computer Science and Technology

Wuhan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Editors	Huiru Zheng, Xiaohua Tony Hu, Daniel Berrar, Yadong Wang, Werner Dubitzky, Jin-Kao Hao, Kwang-Hyun Cho, David Gilbert
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	28-33
Number of pages	6
ISBN (Electronic)	9781479956692
DOIs	https://doi.org/10.1109/BIBM.2014.6999278
Publication status	Published - 29 Dec 2014
Event	2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, United Kingdom Duration: 2 Nov 2014 → 5 Nov 2014

Publication series

Name	Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Conference

Conference	2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Country/Territory	United Kingdom
City	Belfast
Period	2/11/14 → 5/11/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Data Field
ELM
ELMDF
FMDF
Neural Network

Access to Document

10.1109/BIBM.2014.6999278

Cite this

Wang, S., & Wang, D. (2014). ELMDF: A new classification algorithm based on Data Field. In H. Zheng, X. T. Hu, D. Berrar, Y. Wang, W. Dubitzky, J.-K. Hao, K.-H. Cho, & D. Gilbert (Eds.), Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 (pp. 28-33). Article 6999278 (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2014.6999278

Wang, Shuliang ; Wang, Dakui. / ELMDF : A new classification algorithm based on Data Field. Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. editor / Huiru Zheng ; Xiaohua Tony Hu ; Daniel Berrar ; Yadong Wang ; Werner Dubitzky ; Jin-Kao Hao ; Kwang-Hyun Cho ; David Gilbert. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 28-33 (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014).

@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",

}

Wang, S & Wang, D 2014, ELMDF: A new classification algorithm based on Data Field. in H Zheng, XT Hu, D Berrar, Y Wang, W Dubitzky, J-K Hao, K-H Cho & D Gilbert (eds), Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014., 6999278, Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014, Institute of Electrical and Electronics Engineers Inc., pp. 28-33, 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014, Belfast, United Kingdom, 2/11/14. https://doi.org/10.1109/BIBM.2014.6999278

ELMDF: A new classification algorithm based on Data Field. / Wang, Shuliang; Wang, Dakui.
Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. ed. / Huiru Zheng; Xiaohua Tony Hu; Daniel Berrar; Yadong Wang; Werner Dubitzky; Jin-Kao Hao; Kwang-Hyun Cho; David Gilbert. Institute of Electrical and Electronics Engineers Inc., 2014. p. 28-33 6999278 (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ELMDF

T2 - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

AU - Wang, Shuliang

AU - Wang, Dakui

PY - 2014/12/29

Y1 - 2014/12/29

N2 - 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.

AB - 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.

KW - Data Field

KW - ELM

KW - ELMDF

KW - FMDF

KW - Neural Network

UR - https://www.scopus.com/pages/publications/84922814903

U2 - 10.1109/BIBM.2014.6999278

DO - 10.1109/BIBM.2014.6999278

M3 - Conference contribution

AN - SCOPUS:84922814903

T3 - Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

SP - 28

EP - 33

BT - Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

A2 - Zheng, Huiru

A2 - Hu, Xiaohua Tony

A2 - Berrar, Daniel

A2 - Wang, Yadong

A2 - Dubitzky, Werner

A2 - Hao, Jin-Kao

A2 - Cho, Kwang-Hyun

A2 - Gilbert, David

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 2 November 2014 through 5 November 2014

ER -

Wang S, Wang D. ELMDF: A new classification algorithm based on Data Field. In Zheng H, Hu XT, Berrar D, Wang Y, Dubitzky W, Hao JK, Cho KH, Gilbert D, editors, Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 28-33. 6999278. (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014). doi: 10.1109/BIBM.2014.6999278

ELMDF: A new classification algorithm based on Data Field

Abstract

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UN SDGs

Keywords

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