The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
Abstract: Nowadays, it has become common to equip a device with Bluetooth. As such devices become pervasive in the world; much work has been done on forming them into a network, ho...
Recently, there have been several promising techniques developed for schedulability analysis and response time analysis for multiprocessor systems based on over-approximation. Thi...
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Abstract. Embedded network devices have become an ubiquitous fixture in the modern home, office as well as in the global communication infrastructure. Devices like routers, NAS ap...
Ang Cui, Yingbo Song, Pratap V. Prabhu, Salvatore ...