We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topica...
Cache hierarchies in future many-core processors are expected to grow in size and contribute a large fraction of overall processor power and performance. In this paper, we postula...
Niti Madan, Li Zhao, Naveen Muralimanohar, Anirudd...
Abstract--Presence, broadly defined as an event publishnotification infrastructure for converged applications, has emerged as a key mechanism for collecting and disseminating conte...