Motivated by issues of saving energy in data centers we define a collection of new problems referred to as "machine activation" problems. The central framework we introd...
Abstract. Iterative compilation is an efficient approach to optimize programs on rapidly evolving hardware, but it is still only scarcely used in practice due to a necessity to gat...
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Abstract. Collections play an important part in everyday life. Therefore, conceptual data models should support collection types to make data modeling as natural as possible for it...
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. K...