Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
With the rapid growth of personal computer networks and the Internet, sharing files has become a central activity in computer use. The ways in which users control the what, how, a...
Stephen Voida, W. Keith Edwards, Mark W. Newman, R...
Cache memories account for a significant fraction of a chip's overall energy dissipation. Recent research advocates using "resizable" caches to exploit cache requir...
Se-Hyun Yang, Michael D. Powell, Babak Falsafi, T....