Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Abstract. Due to the changing scope of data management towards the management of heterogeneous and distributed systems and applications, integration processes gain in importance. T...
Quality assurance (QA) tasks, such as testing, profiling, and performance evaluation, have historically been done in-house on developer-generated workloads and regression suites. ...
Arvind S. Krishna, Douglas C. Schmidt, Atif M. Mem...
Matrices are essential in many fields of computer science, especially when large amounts of data must be handled efficiently. Despite this demand for matrix software, we were una...
The capacity of today's network links, along with the heterogeneity of their traffic, is rapidly growing, more than the workstation’s processing power. This makes the task ...