Soft errors in logic are emerging as a significant reliability problem for VLSI designs. This paper presents novel circuit optimization techniques to mitigate soft error rates (SE...
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Abstract. We address the problem of term normalisation modulo associativecommutative (AC) theories, and describe several techniques for compiling many-to-one AC matching and reduce...
Extensible processors allow addition of application-specific custom instructions to the core instruction set architecture. However, it is computationally expensive to automaticall...
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...