The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
We consider the problem of storing and searching a large state space obtained from a high-level model such as a queueing network or a Petri net. After reviewing the traditional te...
Location determination of mobile users within a building has attracted much attention lately due to its many applications in mobile networking including network intrusion detectio...
Yiming Ji, Saad Biaz, Santosh Pandey, Prathima Agr...
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Telematics services are more useful when local hotspot services are provided by distributed third-party providers in addition to the services supplied by central telematics servic...