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, SPCA yields MSFE-best prediction models in many cases, particularly when coupled with shrinkage. This result provides … of prediction using big data. In this paper, our over-arching question is whether such big data are useful for modelling … analysis (SPCA), coupled with a variety of other factor estimation as well as data shrinkage methods, including bagging …
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forms of shrinkage. For example, SPCA yields MSFE-best prediction models in many cases, particularly when coupled with … of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for … component analysis (SPCA), coupled with a variety of other factor estimation as well as data shrinkage methods, including …
Persistent link: https://www.econbiz.de/10009766687
forms of shrinkage. For example, SPCA yields MSFE-best prediction models in many cases, particularly when coupled with … of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for … component analysis (SPCA), coupled with a variety of other factor estimation as well as data shrinkage methods, including …
Persistent link: https://www.econbiz.de/10010678604
Electroless nickel composite coatings possess excellent mechanical and tribological properties such as, hardness, wear and corrosion resistance. Composite coatings can easily be coated not only on electrically conductive materials but also on non-conductive materials like as fabrics, plastics,...
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Purpose: The purpose of this research is to develop an optimization model of CNC turning process. The objective function of the model is to minimize processing time and carbon emission. We implemented the results of optimization with real machining application using a certain workpiece....
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