Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Due to temporary access restrictions, embargoed data cannot be refreshed to unlimited parties during the embargo time interval. A solution to mitigate the risk of data loss has be...
In this work, we present accordion arrays, a straightforward and effective memory compression technique targeting Unicode-based character arrays. In many non-numeric Java programs...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...