Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representationbui...
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...
A method for detecting and reducing reverberation artifacts in ultrasound image sequences is described. A reverberation artifact localization map is produced using local Rf-bandwi...
Nina Eriksson Bylund, Mats T. Andersson, Hans Knut...