… A GP prediction of inputs x ∈ R m × d is therefore seen as a sample from a Gaussian
process conditioned on training data x * ∈ R n × d with corresponding mean function …

In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …

… Pearson and Mowbray have done research on technical and procedural methods for
promoting cloud privacy [21, 22]. Recently, Ko, Lee and Pearson established the case for …

We describe a privacy manager for cloud computing, which reduces the risk to the cloud
computing user of their private data being stolen or misused, and also assists the cloud …

eScience is rapidly changing the way we do research. As a result, many research labs now
need non-trivial computational power. Grid and voluntary computing are well-established …

A significant barrier to the adoption of cloud services is that users fear data leakage and loss
of privacy if their sensitive data is processed in the cloud. In this paper, we describe a client-…

Community is one of those ‘motherhood’ words with great potential for mystification of social
issues. This paper examines the way the term has evolved and is currently used in Australia…

Communitarianism is again a vogue idea in policy discourse, but the goals pursued through
associated programmes are often confused. Extravagant claims about strengthening …

We collect BitTorrent usage data across multiple file-sharing communities and analyze the
factors that affect users' cooperative behavior. We find evidence that the design of the …

… Following adjustment of our data to μM with equivalent protein concentrations, our results
are consistent with those of Paunel et al. (Table 1). In addition to analyzing epidermis from …