NDLI: Feature-Based Ordering Algorithm for Data Presentation of Fuzzy ARTMAP Ensembles

Content Provider	IEEE Xplore Digital Library
Author	Tatt Hee Oong Isa, N.A.M.
Copyright Year	2012
Abstract	This brief presents a new ordering algorithm for data presentation of fuzzy ARTMAP (FAM) ensembles. The proposed ordering algorithm manipulates the presentation order of the training data for each member of a FAM ensemble such that the categories created in each ensemble member are biased toward the vector of the chosen input feature. Diversity is created by varying the training presentation order based on the ascending order of the values from the most uncorrelated input features. Analysis shows that the categories created in two FAMs are compulsively diverse when the chosen input features used to determine the presentation order of the training data are uncorrelated. The proposed ordering algorithm was tested on 10 classification benchmark problems from the University of California, Irvine, machine learning repository and a cervical cancer problem as a case study. The experimental results show that the proposed method can produce a diverse, yet well generalized, FAM ensemble.
Page Count	8
File Size	1370695
Starting Page	812
Ending Page	819
File Format	PDF
ISSN	2162237X
Volume Number	25
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training data Neural networks Training Vectors Learning systems Bagging Computer architecture pattern classification Fuzzy ARTMAP (FAM) generalization neural network ensemble ordering algorithm
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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