Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks f...
In this overview paper we motivate the need for and research issues arising from a new model of data processing. In this model, data does not take the form of persistent relations...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
In this paper we present a novel performance analysis technique for large-scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of ...
Markov chains are widely used in the context of performance and reliability evaluation of systems of various nature. Model checking of such chains with respect to a given (branchin...
Holger Hermanns, Joost-Pieter Katoen, Joachim Meye...
This paper is a report of some of the findings in a study of how and what women in computer science learn using the Internet for communication with other women. The focus of this ...