In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Abstract The integration of database and programming languages is difficult due to the different data models and type systems prevalent in each field. We present a solution wher...
Miguel Garcia, Anastasia Izmaylova, Sibylle Schupp
Abstract: Qualitative Spatial Reasoning can be greatly improved if metric information can be represented and reasoning can be performed on it; moreover, modelling vagueness and unc...
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Large-scale data analysis lies in the core of modern enterprises and scientific research. With the emergence of cloud computing, the use of an analytical query processing infrast...
Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra...