Michael Cavaretta

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A good or bad product quality rating can make or break an organization. However, the notion of “quality” is often defined by an independent rating company that does not make the formula for determining the rank of a product publicly available. In order to invest wisely in product development, organizations are starting to use intelligent approaches for(More)
In this thesis, we propose new mixed integer optimization (MIO) methods to address problems in machine learning. The first part develops methods for supervised bipartite ranking, which arises in prioritization tasks in diverse domains such as information retrieval, recommender systems, natural language processing, bioinformatics, and preventative(More)
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