Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Database partitioning is a technique for improving the performance of distributed OLTP databases, since “single partition” transactions that access data on one partition do no...
FACTOR/AIM (AIM) is a simulation system designed specifically for use in manufacturing decision support. AIM has been successfully applied to engineering design, scheduling, and p...
SQL tuning--the attempt to improve a poorly-performing execution plan produced by the database query optimizer-is a critical aspect of database performance tuning. Ironically, as ...
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...