We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Users of database applications, especially in the e-commerce domain, often resort to exploratory "trial-and-error" queries since the underlying data space is huge and unf...
Abhijit Kadlag, Amol V. Wanjari, Juliana Freire, J...
Multiple threads running in a single, shared address space is a simple model for writing parallel programs for symmetric multiprocessor (SMP) machines and for overlapping I/O and ...
alization of large volumes of abstract information requires mechanisms to support the user by knowledge discovering. Therefore we developed the level of data Therein the abstract ...
We consider the following basic question: a source node wishes to stream an ordered sequence of packets to a collection of receivers, which are distributed among a number of clust...
Alix L. H. Chow, Leana Golubchik, Samir Khuller, Y...