A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beli...
During initial program comprehension, software engineers could benefit from knowing the most need-to-beunderstood classes in the system under study in order to kick-start their s...
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Performance in hardware has been demonstrated to be an important factor in the evaluation of candidates for cryptographic standards. Up to now, no consensus exists on how such an e...