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Feature selection is among the keys in many applications, especially in mining high-dimensional data. With lack of labeled instances, the learning accuracy may deteriorate using traditional methods. In this paper, we introduce a ldquowrapperrdquo type semi-supervised feature selection approach based on RSC model. It extends the class label from labeled training set to unlabeled data. Additionally,...
In today's operating system, memory management policies based on the data-copying and hidden mechanisms blocks the system performance which is far from expectation. This paper introduces an innovative memory management system powered by vertical architecture PVM. The paper first describes the model and architecture of PVM, followed by an analysis of lazy management of virtual address space and the...
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