Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
The present work investigates the efficiency of the multigrid numerical method when used to solve two-dimensional laminar velocity and temperature fields inside a rectangular doma...
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Synthetically generated data has always been important for evaluating and understanding new ideas in database research. In this paper, we describe a data generator for generating ...
Due to the growing popularity of XML as a data exchange and storage format, the need to develop efficient techniques for storing and querying XML documents has emerged. A common ap...