Manually tuning tens to hundreds of configuration parameters in a complex software system like a database or an application server is an arduous task. Recent work has looked into ...
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
The purpose of this work is to experimentally evaluate the quality of voice and data services over community-based WLAN access networks. We use P2PWNC, the Wireless LAN roaming ar...
Pantelis A. Frangoudis, Vasileios P. Kemerlis, Dim...
We present a system to automatically assess the functional performance of stroke survivors along axes defined by the Arm Motor Ability Test (AMAT). The upper body motion of seven...