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Learning with Complex Performance Measures : Theory, Algorithms and Applications
(2017-12-07)
We consider supervised learning problems, where one is given objects with labels, and the goal is to learn a model that can make accurate predictions on new objects. These problems abound in applications, ranging from ...
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(2017-12-05)
Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ...