Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
The composition of services that are indexed in a large-scale service directory often involves many complex queries issued by the service composition algorithm to the directory. Th...
Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge vo...
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...