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. ...
We show that problems arising in static analysis of XML specifications and transformations can be dealt with using techniques similar to those developed for static analysis of pr...
We propose a major index statistic on 01-fillings of moon polyominoes which, when specialized to certain shapes, reduces to the major index for permutations and set partitions. W...
William Y. C. Chen, Svetlana Poznanovic, Catherine...
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...