Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
We examine secure computing paradigms to identify any new architectural challenges for future general-purpose processors. Some essential security functions can be provided by diffe...
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
— We present Bristlecone, a programming language for robust software systems. Bristlecone applications have two components: a high-level organization specification that describe...