Linear Decompositions for Multi-Valued Input Classification Functions
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Authors
Sasao, Tsutomu
Butler, Jon T.
Advisors
Second Readers
Subjects
Date of Issue
2021-05-25
Date
May 25, 2021
Publisher
IEEE
Language
Abstract
This paper presents a method to improve a heuristic linear decomposer for index generation functions. Besides being fast and scalable, it also improves the solutions. This is done through the use of an efficient evaluation method that can find better solutions and can predict the quality of the solution. Experimental results show that the improved heuristic quickly finds exact optimum solutions that are not found by existing heuristics.
Type
Conference Paper
Description
2021 IEEE 51st International Symposium on Multiple-Valued Logic (ISMVL)
Series/Report No
Department
Electrical and Computer Engineering (ECE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
This work was supported in part by a Grant-in-Aid for Scientific Research of the JSPS.
Funding
Grant-in-Aid for Scientific Research of the JSPS
Format
7 p.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.