—This paper deals with the traditional IP address lookup problem with fast updates. We propose a B-tree data structure, called MMSPT (Multiway Most Specific Prefix Tree), which i...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Network applications and services need to be environment-aware in order to meet non-functional requirements in increasingly dynamic contexts. In this paper we consider partition a...
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...