Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
This paper presents a framework for the study of generalizing the standard notion of equivalence relation in rough set approximation space with various categories of k-step neighb...
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, int...