Graph-Based Algorithms for Boolean Function Manipulation
IEEE Transactions on Computers
A maximum entropy approach to natural language processing
Computational Linguistics
Arithmetic Circuits for Analog Digits
ISMVL '99 Proceedings of the Twenty Ninth IEEE International Symposium on Multiple-Valued Logic
Information Theoretic Approach to Minimization of Polynomial Expressions over GF(4)
ISMVL '00 Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic
Introduction to Quantum Computation Information
Introduction to Quantum Computation Information
Improving Web Database Access Using Decision Diagrams
AICCSA '01 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications
An Axiomatization of Generalized Entropy of Partitions
ISMVL '01 Proceedings of the 31st IEEE International Symposium on Multiple-Valued Logic
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Information theoretic measures for power analysis [logic design]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
An improved method for computing a generalized spectral coefficient
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Efficient calculation of spectral coefficients and their applications
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In modern science, significant advances are typically made atcross-roads of disciplines. Thus, many optimization problems inMultiple-valued Logic Design have been successfullyapproached using ideas and techniques from ArtificialIntelligence. In particular, improvements in multiple-valuedlogic design have been made by exploiting information/uncertaintymeasures. In this paper, we review well-known information measuresin the multiple-valued domain and consider some methods of findinginformation measures for completely or incompletely specifiedfunctions with multiple-valued and continuous attributes. In thisrespect, the paper addresses the problem known as discretizationand introduces a method of finding an optimal representation ofcontinuous data in the multiple-valued domain. We also propose atechnique for efficient calculation of different informationmeasures using Multiple-valued Decision Diagrams. As oneapplication of our technique, we outline an approach tosynthesizing digital circuits derived from decision diagrams thatcan yield to reduction in power dissipation. The paper also showsthe impact in several important areas of multiple-valued systemdesign including (i) fuzzy logic, (ii) quantum computing systems,and (iii) data mining.