NDLI: Connectionist learning of weights for k-NN retrieval

Content Provider	IEEE Xplore Digital Library
Author	Dhar, A.R.
Copyright Year	2011
Description	Author affiliation: IBM India (P) Ltd., DLF IT Park, Rajarhat, New Town, Kolkata - 700156 (Dhar, A.R.)
Abstract	The problem of tuning weights/classifying feature vectors is well known problem in CBR. Previously neural nets have been successfully incorporated in many applications associated with knowledge-based systems. Knowledge acquisition, feature selection, classifying feature vectors, tuning the weights is some of those many avenues in CBR where neural nets can be applied. This paper first describes some related previous work to learn feature weights. After that, this tries to see the applicability of neural nets to the current problem, formulates the problem's solution using a neural net topology. Next, this articulates an algorithm to be used in conjunction with Back propagation and tries to give theoretical foundation to the proposed algorithm. Then, this tries to establish the effectiveness of the proposed solution by running experiments on some critical sample domains, and results are published and studied. Finally, this accepts the challenges in the proposed integration work along with other bottlenecks and the future work expected in this direction.
Starting Page	81
Ending Page	85
File Size	262014
Page Count	5
File Format	PDF
ISBN	9781424486786
e-ISBN	9781424486793
DOI	10.1109/ICECTECH.2011.5942055
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Decision Maker Single Layer Perceptron Leave-One-Out-Comparison Neurons Training data Artificial neural networks Cognition Case Based Reasoning Weight Testing Diseases
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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