Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Statistical quantities, such as expectation (mean) and variance, play a vital role in the present age probabilistic analysis. In this paper, we present some formalization of expect...
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Heuristic algorithms have enjoyed increasing interests and success in the context of Utility Accrual (UA) scheduling. However, few analytical results, such as bounds on task-level...
Peng Li, Hyeonjoong Cho, Binoy Ravindran, E. Dougl...