Titlebook: Research in Data Science; Ellen Gasparovic,Carlotta Domeniconi Book 2019 The Author(s) and the Association for Women in Mathematics 2019 d

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Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vee also showcase the usefulness of our approach in the online (streaming) setting and provide empirical evidence that suggests the robustness of the proposed method to the number of corruptions and the distribution from which the corruptions are drawn.

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Book 2019e important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas.  Contributions study topics such as the hubness phenomenon in high

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