NDLI: Generalization vs. specialization: quantitative evaluation criteria for genetics-based learning systems

Content Provider	IEEE Xplore Digital Library
Author	de Stefano, C. Marcelli, A.
Copyright Year	1997
Description	Author affiliation: Dipt. di Ingegneria dell'Inf. ed Ingegneria Elettrica, Salerno Univ., Italy (de Stefano, C.)
Abstract	In the framework of a novel method for online character recognition adopting a genetic based learning mechanism to design a set of prototypes to be used for the classification, this paper presents a new learning strategy. The proposed strategy is iterative, and it combines two well-known selection mechanism, the roulette wheel algorithm and the elitist approach. Such a combination exhibits both the key features of the two selection mechanisms considered, namely the ability of the former to provide good enough solutions to multimodal problems and the efficiency of the latter in searching for the best solution while dealing with unimodal problem. The first feature is exploited to infer from the samples in the training set, the best set of initial prototypes, while the second one is responsible for producing a new set of prototypes from the initial ones. A method for estimating experimentally when the break-even point between generalization and specialization of the prototypes is reached is proposed as a criterion to terminate the entire learning process.
Starting Page	2865
Ending Page	2870
File Size	646345
Page Count	6
File Format	PDF
ISBN	0780340531
ISSN	1062922X
DOI	10.1109/ICSMC.1997.635429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prototypes Learning systems Wheels Shape Genetic algorithms Character recognition Iterative methods Iterative algorithms Nervous system Psychology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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