Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Immortal DB builds transaction time database support into the SQL Server engine, not in middleware. Transaction time databases retain and provide access to prior states of a datab...
David B. Lomet, Roger S. Barga, Mohamed F. Mokbel,...
Transaction time databases retain and provide access to prior states of a database. An update “inserts” a new record while preserving the old version. Immortal DB builds trans...
David B. Lomet, Roger S. Barga, Mohamed F. Mokbel,...
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...