On the reduction of instance space in learning from examples
Methodologies for intelligent systems, 5
EURO-DAC '92 Proceedings of the conference on European design automation
Logic Synthesis and Optimization
Logic Synthesis and Optimization
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Logic Minimization Algorithms for VLSI Synthesis
Logic Minimization Algorithms for VLSI Synthesis
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
PLATO: a CAD tool for logic synthesis based on decomposition
EURO-DAC '91 Proceedings of the conference on European design automation
Algebraic structure theory of sequential machines (Prentice-Hall international series in applied mathematics)
Input Variable Assignment and Output Phase Optimization of PLA's
IEEE Transactions on Computers
Multiple-valued logic synthesis and optimization
Logic Synthesis and Verification
Classification Learning by Decomposition of Numerical Datasets
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Decomposition of Boolean Relations and Functions in Logic Synthesis and Data Analysis
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Function Decomposition in Machine Learning
Machine Learning and Its Applications, Advanced Lectures
A function-decomposition method for development of hierarchical multi-attribute decision models
Decision Support Systems
Journal of Systems Architecture: the EUROMICRO Journal
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Abstract: This paper presents a generalized method for decomposition of multiple-valued functions. The main reason for using the described method is efficient implementation of logic circuits as well as effective representation of data in information systems. In logic synthesis, the method reduces the demand for silicon space required to implement designs. It is shown that the decomposition technique leads to additional compressing capabilities in PLA implementations. Another very promising area of application of decomposition is its effective representation of data in information systems, data bases and in other applications of information storing systems.