A learning method for small data sets with multimodality variables

Der Chiang Li; Yu Ching Chang; Mei Lan Su; Liang Sian Lin

doi:10.1109/GSIS.2013.6714832

A learning method for small data sets with multimodality variables

Der Chiang Li, Yu Ching Chang, Mei Lan Su, Liang Sian Lin

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

1 Citation (Scopus)

Abstract

This paper proposes a new approach to generate virtual sample for learning small data set considering a distribution with multimodality. This modality test strategy is mainly aimed at assessing data clustering by using a hypothesis testing based on a uni-modality function. One data set is provided to check the effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013
Pages	481-483
Number of pages	3
DOIs	https://doi.org/10.1109/GSIS.2013.6714832
Publication status	Published - 2013
Event	2013 24th IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013 - Macau, China Duration: 2013 Nov 15 → 2013 Nov 17

Publication series

Name	Proceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS
ISSN (Print)	2166-9430
ISSN (Electronic)	2166-9449

Other

Other	2013 24th IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013
Country/Territory	China
City	Macau
Period	13-11-15 → 13-11-17

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Science Applications
Hardware and Architecture
Control and Systems Engineering

Access to Document

10.1109/GSIS.2013.6714832

Cite this

Li, D. C., Chang, Y. C., Su, M. L., & Lin, L. S. (2013). A learning method for small data sets with multimodality variables. In Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013 (pp. 481-483). Article 6714832 (Proceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS). https://doi.org/10.1109/GSIS.2013.6714832

@inproceedings{4c001de1a7dc4c41b4533b609b004d09,

title = "A learning method for small data sets with multimodality variables",

abstract = "This paper proposes a new approach to generate virtual sample for learning small data set considering a distribution with multimodality. This modality test strategy is mainly aimed at assessing data clustering by using a hypothesis testing based on a uni-modality function. One data set is provided to check the effectiveness of the proposed approach.",

author = "Li, {Der Chiang} and Chang, {Yu Ching} and Su, {Mei Lan} and Lin, {Liang Sian}",

year = "2013",

doi = "10.1109/GSIS.2013.6714832",

language = "English",

isbn = "9781467352628",

series = "Proceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS",

pages = "481--483",

booktitle = "Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013",

note = "2013 24th IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013 ; Conference date: 15-11-2013 Through 17-11-2013",

}

Li, DC , Chang, YC, Su, ML & Lin, LS 2013, A learning method for small data sets with multimodality variables. in Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013., 6714832, Proceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS, pp. 481-483, 2013 24th IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013, Macau, China, 13-11-15. https://doi.org/10.1109/GSIS.2013.6714832

A learning method for small data sets with multimodality variables. / Li, Der Chiang ; Chang, Yu Ching; Su, Mei Lan et al.
Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013. 2013. p. 481-483 6714832 (Proceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS).

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

TY - GEN

T1 - A learning method for small data sets with multimodality variables

AU - Li, Der Chiang

AU - Chang, Yu Ching

AU - Su, Mei Lan

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AB - This paper proposes a new approach to generate virtual sample for learning small data set considering a distribution with multimodality. This modality test strategy is mainly aimed at assessing data clustering by using a hypothesis testing based on a uni-modality function. One data set is provided to check the effectiveness of the proposed approach.

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DO - 10.1109/GSIS.2013.6714832

M3 - Conference contribution

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BT - Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013

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Y2 - 15 November 2013 through 17 November 2013

ER -

A learning method for small data sets with multimodality variables

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