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Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.

Abstract: Wrapper approaches for feature selection are known for their high performance, but the drawback of high computational cost is presented. This work proposes using cost-reduction mechanisms ...

Today it is a marginal problem, thanks to high-level languages like C#. But there are still libraries that use delay functions. Everything is fine as long as your program is quite simple, but things ...

For most people, the Bosnian War was just a moment in time, in a far off place, transmitted into living rooms via news broadcasts. For Adis Ziga, the early 1990s conflict consumed his reality, ...