General media-processing programs are easily expressed with bitaddressing and variable-sized bit-fields. But the natural implementation of bit-addressing relies on dynamic shift ...
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
Edmund K. Burke, Timothy Curtois, Matthew R. Hyde,...
Most current sensor network research explores the use of extremely simple sensors on small devices called motes and focuses on overcoming the resource constraints of these devices...
Jason Campbell, Phillip B. Gibbons, Suman Nath, Pa...