Abstract. In this paper we consider databases representing information about moving objects (e.g. vehicles), particularly their location. We address the problems of updating and qu...
Ouri Wolfson, Liqin Jiang, A. Prasad Sistla, Sam C...
We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for (multi-agent) knowledge...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
—State signaling and maintenance mechanisms play crucial roles in communication network protocols. State is used to facilitate indirections in protocols such as routing. Design a...
Utku Gunay Acer, Alhussein A. Abouzeid, Shivkumar ...
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...