We propose a formal model of trust informed by the Global Computing scenario and focusing on the aspects of trust formation, evolution, and propagation. The model is based on a no...
E-business workloads are quite complex as demonstrated by the hierarchical workload characterization discussed here. While these features may pose challenges to performance model ...
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
A new formalism for building network models in Prolog is proposed. It is based on a new semantic interpretation of the Prolog variables and clauses, which are used to represent th...
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...