NDLI: String taxonomy using learning automata

Content Provider	IEEE Xplore Digital Library
Author	Oommen, B.J. De St. Croix, E.V.
Copyright Year	1996
Abstract	A typical syntactic pattern recognition (PR) problem involves comparing a noisy string with every element of a dictionary, X. The problem of classification can be greatly simplified if the dictionary is partitioned into a set of subdictionaries. In this case, the classification can be hierarchical-the noisy string is first compared to a representative element of each subdictionary and the closest match within the subdictionary is subsequently located. Indeed, the entire problem of subdividing a set of string into subsets where each subset contains "similar" strings has been referred to as the "String Taxonomy Problem". To our knowledge there is no reported solution to this problem. In this paper we present a learning-automaton based solution to string taxonomy. The solution utilizes the Object Migrating Automaton the power of which in clustering objects and images has been reported. The power of the scheme for string taxonomy has been demonstrated using random string and garbled versions of string representations of fragments of macromolecules.
Starting Page	354
Ending Page	365
Page Count	12
File Size	442720
File Format	PDF
ISSN	10834419
Volume Number	27
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-04-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Taxonomy Learning automata Pattern recognition Dictionaries Phase estimation Parameter estimation Nearest neighbor searches Phase noise System testing Councils
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction 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
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