In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Recent Internet applications, such as online social networks and user-generated content sharing, produce an unprecedented amount of social information, which is further augmented b...
Nicolas Kourtellis, Joshua Finnis, Paul Anderson, ...
Wireless sensor networks are characterised by the distributed nature of their operation and the resource constraints on the nodes. Trust management schemes that are targeted at sen...
Part-of-speech (POS) tag distributions are known to exhibit sparsity -- a word is likely to take a single predominant tag in a corpus. Recent research has demonstrated that incorp...
Abstract-- Due to the limited energy supplies of nodes in wireless networks, achieving energy efficiency is crucial for extending the lifetime of these networks. Thus, we study eff...