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A range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most related studies, classifications were based upon specific and marketing focused customer behaviours. Prediction accuracy on untrained customers was generally...
Summary In this chapter, we discuss the factors that affect image quality of DW-MRI and practical methods to improve the quality of DW-MR images obtained from clinical scanners. We demonstrate how simple phantoms may be used to improve image quality so that high-quality images can be attained consistently. We review the relative merits of fat-suppression schemes and how these may be applied to different...
The topic of deep-learning has recently received considerable attention in the machine learning research community, having great potential to liberate computer scientists from hand-engineering training datasets, because the method can learn the desired features automatically. This is particularly beneficial in medical research applications of machine learning, where getting good hand labelling of...
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