Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
In this paper, we model a recent legal case as presented in a court of first instance using argument schemes and an argumentation framework, providing a formal analysis of the cas...
Adam Zachary Wyner, Trevor J. M. Bench-Capon, Kati...
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
We consider the problem of efficient opportunistic spectrum access in cognitive radio networks where there are multiple secondary users trying to share access to multiple channels...
This paper briefly describes our proposal for storytelling in virtual environments from a virtual guide perspective. In our model the guide begins at a particular location and star...