A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Abstract. In this paper, we show that the proportional response dynamics, a utility based distributed dynamics, converges to the market equilibrium in the Fisher market with consta...
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
In deep submicron VLSI circuits, interconnect reliability due to electromigration and thermal effects is fast becoming a serious design issue particularly for long signal lines. T...