A systematic presentation of the randomized machine learning problem: from data processing, through structuring randomized models and algorithmic procedure, to the solution of applications-relevant problems in different fields.
Provides new numerical methods for random global optimization and computation of multidimensional integrals.
A universal algorithm for randomized machine learning.
