Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network

Ran Wang; Sam Kwong; Qingshan Jiang; Ka-Chun Wong

doi:10.1109/SMC.2015.377

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network

Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

In this paper, we propose two stream-based active learning algorithms for single-hidden layer feed-forward neural networks (SLFNs) trained by extreme learning machine (ELM). Uncertainty and inconsistency are adopted as two sample selection criteria. Uncertainty reflects the nondeterminacy of a sample among different decision classes, which is calculated by information entropy or Gini-index. Inconsistency reflects the disagreement of the sample between its conditional features and decision labels, which is calculated by the lower approximations in fuzzy rough sets. Experimental results demonstrate that inconsistency-based strategy is more effective than uncertainty based strategy for SLFNs under stream-based environment.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Publisher	IEEE
Pages	2158-2163
ISBN (Print)	9781479986965
DOIs	https://doi.org/10.1109/SMC.2015.377
Publication status	Published - 12 Jan 2016
Event	2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015) - City University of Hong Kong, Hong Kong, China Duration: 9 Oct 2015 → 12 Oct 2015

Conference

Conference	2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)
Place	Hong Kong, China
Period	9/10/15 → 12/10/15

Research Keywords

Active Learning
Extreme Learning Machine
Inconsistency
SLFNs
Uncertainty

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10.1109/SMC.2015.377

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title = "Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network",

abstract = "In this paper, we propose two stream-based active learning algorithms for single-hidden layer feed-forward neural networks (SLFNs) trained by extreme learning machine (ELM). Uncertainty and inconsistency are adopted as two sample selection criteria. Uncertainty reflects the nondeterminacy of a sample among different decision classes, which is calculated by information entropy or Gini-index. Inconsistency reflects the disagreement of the sample between its conditional features and decision labels, which is calculated by the lower approximations in fuzzy rough sets. Experimental results demonstrate that inconsistency-based strategy is more effective than uncertainty based strategy for SLFNs under stream-based environment.",

keywords = "Active Learning, Extreme Learning Machine, Inconsistency, SLFNs, Uncertainty",

author = "Ran Wang and Sam Kwong and Qingshan Jiang and Ka-Chun Wong",

year = "2016",

month = jan,

day = "12",

doi = "10.1109/SMC.2015.377",

language = "English",

isbn = "9781479986965",

pages = "2158--2163",

booktitle = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",

publisher = "IEEE",

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note = "2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015) ; Conference date: 09-10-2015 Through 12-10-2015",

}

Wang, R, Kwong, S, Jiang, Q & Wong, K-C 2016, Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. in Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015., 7379509, IEEE, pp. 2158-2163, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Hong Kong, China, 9/10/15. https://doi.org/10.1109/SMC.2015.377

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. / Wang, Ran; Kwong, Sam; Jiang, Qingshan et al.
Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. IEEE, 2016. p. 2158-2163 7379509.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network

AU - Wang, Ran

AU - Kwong, Sam

AU - Jiang, Qingshan

AU - Wong, Ka-Chun

PY - 2016/1/12

Y1 - 2016/1/12

N2 - In this paper, we propose two stream-based active learning algorithms for single-hidden layer feed-forward neural networks (SLFNs) trained by extreme learning machine (ELM). Uncertainty and inconsistency are adopted as two sample selection criteria. Uncertainty reflects the nondeterminacy of a sample among different decision classes, which is calculated by information entropy or Gini-index. Inconsistency reflects the disagreement of the sample between its conditional features and decision labels, which is calculated by the lower approximations in fuzzy rough sets. Experimental results demonstrate that inconsistency-based strategy is more effective than uncertainty based strategy for SLFNs under stream-based environment.

AB - In this paper, we propose two stream-based active learning algorithms for single-hidden layer feed-forward neural networks (SLFNs) trained by extreme learning machine (ELM). Uncertainty and inconsistency are adopted as two sample selection criteria. Uncertainty reflects the nondeterminacy of a sample among different decision classes, which is calculated by information entropy or Gini-index. Inconsistency reflects the disagreement of the sample between its conditional features and decision labels, which is calculated by the lower approximations in fuzzy rough sets. Experimental results demonstrate that inconsistency-based strategy is more effective than uncertainty based strategy for SLFNs under stream-based environment.

KW - Active Learning

KW - Extreme Learning Machine

KW - Inconsistency

KW - SLFNs

KW - Uncertainty

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DO - 10.1109/SMC.2015.377

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781479986965

SP - 2158

EP - 2163

BT - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

PB - IEEE

T2 - 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)

Y2 - 9 October 2015 through 12 October 2015

ER -

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network

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