NDLI: Inducing high performance neural networks based on an improved decision boundary making algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kaneda, Y. Qiangfu Zhao Yong Liu Yen, N.Y.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. & Inf. Syst., Univ. of Aizu, Aizu-Wakamatsu, Japan (Kaneda, Y.; Qiangfu Zhao; Yong Liu; Yen, N.Y.)
Abstract	In recent years, portable computing devices (PCDs) such as smart phones are becoming more and more popular, and many users are using applications on their PCDs. To customize applications for each user, we suggest to use awareness agents (A-agents) that can help users. However, A-agents usually become large. To reduce the size of A-agents, we have proposed decision boundary learning (DBL) based on particle swarm optimization (PSO) algorithm. Through experiments, we can get a compact and high performance A-agent. However, the training time becomes very long. Because, the calculation cost of PSO algorithm is very high. To reduce the calculation cost, we propose a simple method called decision boundary making (DBM) algorithm in this paper. The basic idea of this algorithm is to generate new training data around support vectors (S Vs) of an S VM. Then, an NN is obtained from these new training data. And, for generating data effectively, we set a condition for adding data. Experimental results show that the proposed DBM outperforms DBL, and its learning time is shorter.
Starting Page	497
Ending Page	503
File Size	827024
Page Count	7
File Format	PDF
ISBN	9781479923649
DOI	10.1109/ICAwST.2013.6765491
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-02
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Accuracy Neural Network Databases Neurons Decision Boundary Making Training data Artificial neural networks Awareness Agents Support Vector Machine Decision Boundary Learning
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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