Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
Information in today’s enterprises commonly resides in a variety of heterogeneous data sources, including relational databases, web services, files, packaged applications, and c...
Modeling and visualization of city scenes is important for many applications including entertainment and urban mission planning. Models covering wide areas can be efficiently cons...
ORN Additive is a prototype tool that was developed to show how the gap between database modeling and implementation can be reduced—more specifically, to show how associations d...
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...