When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
This chapter covers extensions of the basic description logics introduced in Chapter 2 by very expressive constructs that require advanced reasoning techniques. In particular, we ...
We consider the problem of automated index selection for embedded control programs (ECPs). Such systems have the property that the transaction types, which can consist of queries ...
How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
We propose a new approach to value-directed belief state approximationfor POMDPs. The valuedirected model allows one to choose approximation methods for belief state monitoringtha...