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.
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