This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatic...
Adriana Budura, Sebastian Michel, Philippe Cudr&ea...
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
We present a new local method for collision avoidance that is based on collision prediction. In our model, each pedestrian predicts possible future collisions with other pedestrian...
Ioannis Karamouzas, Peter Heil, Pascal van Beek, M...
Abstract— This paper focuses on the dribbling control problem of an omnidirectional mobile robot and a rolling ball in the RoboCup Middle Size domain. Because the ball easily sli...