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Speeding up Multiple Instance Learning Classification Rules on GPUs
Multiple instance learning is a challenging task in supervised learning and data mining. How- ever, algorithm performance becomes slow when learning from large-scale and high-dimensional data sets. Graphics processing ...
Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels
CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof- the-art algorithms for discretizing data for which classes are known. However, it may take a long time when run on high-dimensional large-scale ...