We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. A complete sys...
This paper presents a probabilistic and abductive theory of plan recognition that handles agents that are actively hostile to the inference of their plans. This focus violates a p...
In order to lay a solid foundation for the emerging semantic web, effective and efficient management of large RDF(S) data is in high demand. In this paper we propose an approach t...