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)
combines the longest running conference in the field of evolutionary computation (ICGA) and the world's two largest EC conferences (GP and ICGA) to bring together the best in research in the growing field of genetic and evolutionary computation. Based on record-breaking submissions, GECCO-99 promises to be the largest conference ever held in the field of(More)
The Ford Motor Company uses hazard analysis to identify part, component, and assembly failure rates over time from warranty claims data. In this project, we developed a combined method of decision tree and survival analysis, diagnosed the causes behind those failure rates, and revealed where, when and how failures occur from the defective hardware warranty(More)
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