Mobility traces of people and vehicles have been collected and published to assist the design and evaluation of mobile networks, such as large-scale urban sensing networks. Althou...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
This paper outlines a series of experiments looking at the annotation and subsequent analysis of skills-based learning and teaching in the domain of Nursing. The experiments used ...
Mark J. Weal, Danius T. Michaelides, Kevin R. Page...
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...