Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
With the emergence of large wired and wireless sensor networks, many real-time applications need to operate on continuous unbounded data streams. At the same time, many of these s...
Yuan Wei, Vibha Prasad, Sang Hyuk Son, John A. Sta...
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
—Localization is a fundamental problem in wireless sensor networks and its accuracy impacts the efficiency of location-aware protocols and applications, such as routing and stora...
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...