Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Background: We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems. In our appro...
Reliable recognition of objects is an important capabaility in the progress towards getting agents to accomplish and assist in a variety of useful tasks such as search and rescue ...
This paper presents a framework for the pervasive sharing of data using wireless networks. ‘FarCry’ uses the mobility of users to carry files between separated networks. Throu...
Paul Tennent, Malcolm Hall, Barry Brown, Matthew C...
Meeting research and especially research on Computer Supported Meetings of natural teams is not available in abundance. What is reported of meetings often uses a rather limited th...