Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
Citing recent successes in forecasting elections, movies, products, and other outcomes, prediction market advocates call for widespread use of market-based methods for government ...
Sharad Goel, Daniel M. Reeves, Duncan J. Watts, Da...
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Mining different types of communities from web data have attracted a lot of research efforts in recent years. However, none of the existing community mining techniques has taken i...
Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Y...
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...