A new pre-processing method for regression

Wen Feng Jing; De Yu Meng; Ming Wei Dai; Zongben Xu

doi:10.1007/11760023_113

A new pre-processing method for regression

Wen Feng Jing
, De Yu Meng
, Ming Wei Dai
, Zongben Xu

School of Mathematics and Statistics

Xi'an Jiaotong University

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

Abstract

A new pre-processing method for regression is developed. The core idea is using three rules to clarify regression raw data. The rules are realized through introducing a judge function on the regression datum whose value determines the importance of the datum. By applying the rules, a new pre-processing method for regression is developed. Performance of the new method on a series of simulations demonstrate that it not only significantly increases computational efficiency and robustness, but also preserves generalization capability of a regression method. Incorporated with any regression method, the developed method then can be efficiently applied to regression of large data sets.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2006
Subtitle of host publication	Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II
Publisher	Springer Verlag
Pages	765-770
Number of pages	6
ISBN (Print)	3540344373, 9783540344377
DOIs	https://doi.org/10.1007/11760023_113
State	Published - 2006
Event	3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks - Chengdu, China Duration: 28 May 2006 → 1 Jun 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3972 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
Country/Territory	China
City	Chengdu
Period	28/05/06 → 1/06/06

Access to Document

10.1007/11760023_113

Cite this

Jing, W. F., Meng, D. Y., Dai, M. W., & Xu, Z. (2006). A new pre-processing method for regression. In Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II (pp. 765-770). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3972 LNCS). Springer Verlag. https://doi.org/10.1007/11760023_113

Jing, Wen Feng ; Meng, De Yu ; Dai, Ming Wei et al. / A new pre-processing method for regression. Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II. Springer Verlag, 2006. pp. 765-770 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{91fd2fb5d1374c8f91850b8f67e0de54,

title = "A new pre-processing method for regression",

abstract = "A new pre-processing method for regression is developed. The core idea is using three rules to clarify regression raw data. The rules are realized through introducing a judge function on the regression datum whose value determines the importance of the datum. By applying the rules, a new pre-processing method for regression is developed. Performance of the new method on a series of simulations demonstrate that it not only significantly increases computational efficiency and robustness, but also preserves generalization capability of a regression method. Incorporated with any regression method, the developed method then can be efficiently applied to regression of large data sets.",

author = "Jing, \{Wen Feng\} and Meng, \{De Yu\} and Dai, \{Ming Wei\} and Zongben Xu",

year = "2006",

doi = "10.1007/11760023\_113",

language = "英语",

isbn = "3540344373",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "765--770",

booktitle = "Advances in Neural Networks - ISNN 2006",

note = "3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks ; Conference date: 28-05-2006 Through 01-06-2006",

}

Jing, WF, Meng, DY, Dai, MW & Xu, Z 2006, A new pre-processing method for regression. in Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3972 LNCS, Springer Verlag, pp. 765-770, 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks, Chengdu, China, 28/05/06. https://doi.org/10.1007/11760023_113

A new pre-processing method for regression. / Jing, Wen Feng; Meng, De Yu; Dai, Ming Wei et al.
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II. Springer Verlag, 2006. p. 765-770 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3972 LNCS).

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

TY - GEN

T1 - A new pre-processing method for regression

AU - Jing, Wen Feng

AU - Meng, De Yu

AU - Dai, Ming Wei

AU - Xu, Zongben

PY - 2006

Y1 - 2006

N2 - A new pre-processing method for regression is developed. The core idea is using three rules to clarify regression raw data. The rules are realized through introducing a judge function on the regression datum whose value determines the importance of the datum. By applying the rules, a new pre-processing method for regression is developed. Performance of the new method on a series of simulations demonstrate that it not only significantly increases computational efficiency and robustness, but also preserves generalization capability of a regression method. Incorporated with any regression method, the developed method then can be efficiently applied to regression of large data sets.

AB - A new pre-processing method for regression is developed. The core idea is using three rules to clarify regression raw data. The rules are realized through introducing a judge function on the regression datum whose value determines the importance of the datum. By applying the rules, a new pre-processing method for regression is developed. Performance of the new method on a series of simulations demonstrate that it not only significantly increases computational efficiency and robustness, but also preserves generalization capability of a regression method. Incorporated with any regression method, the developed method then can be efficiently applied to regression of large data sets.

UR - https://www.scopus.com/pages/publications/33745925261

U2 - 10.1007/11760023_113

DO - 10.1007/11760023_113

M3 - 会议稿件

AN - SCOPUS:33745925261

SN - 3540344373

SN - 9783540344377

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 765

EP - 770

BT - Advances in Neural Networks - ISNN 2006

PB - Springer Verlag

T2 - 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

Y2 - 28 May 2006 through 1 June 2006

ER -

Jing WF, Meng DY, Dai MW, Xu Z. A new pre-processing method for regression. In Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II. Springer Verlag. 2006. p. 765-770. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11760023_113

A new pre-processing method for regression

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this