Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
: Ubiquitous integrated computing makes possible new workflow processes and business models which can meet the challenges from the fast growing digital convergence. An integrated i...
The use of sonification as a means of representing and analysing data has become a growing field of research in recent years and as such has become a far more accepted means of wo...