Browsing Computer science and engineering by Subject "Probabilistic models"
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Understanding human genome regulation through entropic graph-based regularization and submodular optimization I am interested in developing computational methods to improve understanding of human genome regulation. This thesis is organized around two novel machine learning methods. First, I present a new method in the field of ...