A partitioning algorithm with application in pattern classification and the optimization of decision trees.
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Meisel, W. S.↗
Engineering topics
Meisel, W. S.
Publications and source records attributed to Meisel, W. S..
The optimization of complex systems with respect to multiple criteria.
A difficult aspect of system optimization is the choice of a single cost function relating system parameters to the quality of the design; there are generally conflicting criteria by which the system can be evaluated. This paper discusses the problem of optimization with respect to multiple criteria, i.e., with a vector-valued cost function, without prespecifying constraints or the weighting of the criteria. The paper discusses theoretical results concerning the set of non-inferior solutions so generated and a computational algorithm for obtaining a characteristic set of non-inferior solutions.
Beeson, R. M.↗
On-line optimization of maintenance and verification schedules
On-line optimization of maintenance and verification schedules for complex system safety insurance
Meisel, W. S.↗
Potential functions in mathematical pattern recognition
Mathematical pattern recognition, using potential functions superposition methods for reconstructing probability density from samples
Meisel, W. S.↗
Reliability in digital systems with asymmetrical failure modes
Digital network reliability with redundancy to mask logic modules failure for asymmetric failure modes
Meisel, W. S.↗
Potential functions in pattern classification algorithms
Pattern classification algorithms using potential functions to construct discriminant functions from sample points set
Meisel, W. S.↗
Hazards in noncritical races.
Hazards in noncritical races, discussing minimum transition time coding of asynchronous sequential switching circuits
Collins, D. C.↗
The synthesis of periodic sequential machines
Conversion of sequential machine into periodic one, with savings in logical elements
King, R. A.↗
Reliability in digital systems with asymmetrical failure modes
Reliability schemes in digital systems with asymmetrical failure modes
Meisel, W. S.↗
A Monte Carlo approach to mean-square approximation
Monte Carlo algorithm for mean square approximations
Meisel, W. S.↗
Least-square methods in abstract pattern recognition.
Least square or least mean square approximation methods in abstract pattern recognition, noting unknown probability density function
Meisel, W. S.↗