Memory-bounded techniques have shown great promise in solving complex multi-agent planning problems modeled as DEC-POMDPs. Much of the performance gains can be attributed to pruni...
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
The goal of this work is the design and construction of adaptive tutorials based on the application of algorithms for the automatic resolution of problems which can be used to aut...
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
The page rank of a commercial web site has an enormous economic impact because it directly influences the number of potential customers that find the site as a highly ranked sear...