We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
We study the tolerance of data structures to memory faults. We observe that many pointerbased data structures (e.g., linked lists, trees, etc.) are highly nonresilient to faults. ...
Data service is the principle application in structured P2P networks. And in many cases, we need the data to persist for a long time. So how to persist the data service and how lo...
Network monitoring systems that support data archival and after-the-fact (retrospective) queries are useful for a multitude of purposes, such as anomaly detection and network and ...
Numerous applications such as stock market or medical information systems require that both historical and current data be logically integrated into a temporal database. The under...
Peter Muth, Patrick E. O'Neil, Achim Pick, Gerhard...