NDLI: Two Stages Based Adaptive Sampling Boosting Method

Content Provider	IEEE Xplore Digital Library
Author	Cong-Man Wang Hui-Zhi Yang Fa-Chao Li Rui-Xue Fu
Copyright Year	2006
Description	Author affiliation: Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang (Cong-Man Wang; Hui-Zhi Yang; Fa-Chao Li)
Abstract	To improve learning performance of boosting method, boosting learning procedure is divided into two sequential stages which are named reducing fitting error stage and reducing variance stage according to the idea of generalization error of boosting method composed of bias and variance which was originally proposed by Breiman. Traditional sampling methods such as roulette wheel selection is suitable for the learning procedure of reducing fitting error stage, and based on the characteristics of reducing variance stage, a new sampling method is proposed named SS method. Based on CSP and SS sampling methods, a new two stages based adaptive sampling boosting method named ASSBoosting is proposed, which according to the different characteristics of the two learning stages adaptively adopts sampling methods by the comparison of the prediction error caused by the two methods. The results of simulation confirm these findings
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2925
Ending Page	2927
File Size	161305
Page Count	3
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.259139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Boosting Artificial neural networks Economic forecasting Classification tree analysis Regression tree analysis Machine learning Educational institutions Technology management Wheels adaptive sampling strategy Two stages CEBoosting method reducing fitting error stage reducing bias stage
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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