2 papers
math.PR2020
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer
Sergey Sidorov, Nikolai Zolotykh
Stochastic separation theorems play important role in high-dimensional data analysis and machine learning. It turns out that in high dimension any point of a random set of points c…
math.CO2018
On the -convexity of random points in the -dimensional spherical layer
Sergey Sidorov
We consider the set of points chosen randomly, independently and uniformly in the -dimensional spherical layer. A set of points is called -convex if all its points are vertic…