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The task of feature selection is to select a subset of the original features according to certain predefined criterion with the goal to remove irrelevant and redundant features, improve the prediction performance and reduce the computational costs of data mining algorithms. In this paper, we integrate feature relevance and redundancy explicitly in the feature selection criterion. Spectral feature...
To achieve theoretical optimum of spatial locality based replacement algorithms, this paper proposes a block correlations directed cache replacement policy (BCD) which uses both of history and runtime access information to predict spatial locality, designs a replacement policy to use prediction results to improve the utilization of the cache and reduces the penalty incurred by incorrect predications...
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