Active OODBMSs must provide e cient support for event detection, composition, and rule execution. Previous experience, reported here, building active capabilities on top of existi...
Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are wort...
: Individuals vary in survival chances due to differences in genetics, environmental exposures, and gene-environment interactions. These chances, as well as the contribution of eac...
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
We apply constraint posting to the problem of reasoning about function from structure. Constraint posting is a technique used by some planners to coordinate decisions. At each dec...