An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
The quality of a statistical machine translation (SMT) system is heavily dependent upon the amount of parallel sentences used in training. In recent years, there have been several...
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
—This study investigates a method for estimating a driver’s spontaneous frustration in the real world. In line with a specific definition of emotion, the proposed method inte...
Lucas Malta, Chiyomi Miyajima, Norihide Kitaoka, K...
Intense research on virtual machines has highlighted the need for flexible software architectures that allow quick evaluation of new design and implementation techniques. The inte...