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Jul 14, 2023 · This paper provides a binary function transformation, and researches the sufficient and necessary condition of binary function transformation with reduced ...
This paper provides a binary function transformation, and researches the sufficient and necessary condition of binary function transformation with reduced class ...
In order to study the universality of the transformation of the separable binary functions, functions f and g do not necessarily choose the same function.
Most often, studies of separability assume continuous alternative spaces; as we show, separability has different properties when alternative spaces are discrete ...
If a dataset is linearly separable, then you are guaranteed to find a perfect classifier. Then you can say how good is the classifier you designed compared to ...
We present an algorithm for learning (or estimating) a function of many variables from scattered data. The function is approximated by a sum of separable ...
separable Boolean functions of n variables. It is shown that the set of all surfaces which separate a dichotomy of an infinite, random, separable set of ...
This paper evaluates the capability of several spectral and texture features for object-based vegetation classification at the species level using airborne high ...
Jan 26, 2022 · A separable code fulfils some features that make the work of ... // Separable auxiliary function returns a bool if lib.Separable ...