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Analytic for data-driven decision-making in complex high-dimensional time-to-event data
Author(s) -
Keivan Sadeghzadeh
Publication year - 2015
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20195338
Subject(s) - computer science , inference , big data , variable (mathematics) , data mining , robustness (evolution) , event (particle physics) , data science , machine learning , artificial intelligence , mathematics , mathematical analysis , biochemistry , chemistry , physics , quantum mechanics , gene

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