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Rough Set Theory (RST) is a technique for data analysis. In this study, we use RST to improve the performance of k-NN method. The RST is used to edit and reduce the training set. We propose two methods to edit training s...

Approximation algorithms for a class of planar graph problems, including planar independent set, planar vertex cover and planar dominating set, were intensively studied. The current upper bound on the running time of the...

The Standardization of a development process for systems of medium complexity, entirely supported by an integrated development environment, could mean a double contribution to the industry of systems development. On the ...

The main objective of this work is to establish a basis for comparing BDI agents with the optimality of decision theory models such as POMDPs. It is argued that a direct comparison is not possible due to the intractabili...

Subjects / keywords: Approximation theory; Functions, Special; Electronic books

Subjects / keywords: Metaheuristics; Operations research; Combinatorial optimization; Approximation theory

Subjects / keywords: Mathematical optimization; Differential equations; Approximation theory; Functions; Electronic books