An important issue of distributed systems is interoperability. Lack of interoperability between distributed systems is a common problem with current and legacy applications. Since...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
This paper demonstrates that case-based reasoning is ideally suited to the creation of knowledge management systems. This is because of the close match between the activities of t...