Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
Passage time densities are useful performance measurements in stochastic systems. With them the modeller can extract probabilistic quality-of-service guarantees such as: the proba...
Jeremy T. Bradley, Stephen T. Gilmore, Nigel Thoma...
Contextual information such as spatial location can significantly enhance the utility of mobile applications. We introduce the concept of active preferences that represent a comb...
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Runtime characteristics of individual threads (such as IPC, cache usage, etc.) are a critical factor in making efficient scheduling decisions in modern chip-multiprocessor systems...
Gaurav Dhiman, Vasileios Kontorinis, Dean M. Tulls...