Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Type systems currently available for imperative languages are too weak to detect a significant class of programming errors. For example, they cannot express the property that a l...
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Conventional programming models were designed to be used by expert programmers for programming for largescale multiprocessors, distributed computational clusters, or specialized p...