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Context-aware quality assessment of structured and unstructured data
(2020-07)
Data analysis is a crucial process in the field of data science that extracts useful information from any form of data. The ease of access and maintenance makes structured data the most popular choice among many organizations ...
Self-tuned, block-coordinate, and incremental mirror descent methods with applications in machine learning and wireless communications
(2020-07)
Uncertainty, high-dimensionality, and matrix structure of the decision variables are among the main challenges that may arise in addressing a wide range of stochastic optimization and equilibrium problems in machine learning ...