We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Many planning and design problems can be characterized as optimal search over a constrained network of conditional choices with preferences. To draw upon the advanced methods of c...
In this paper, we present two linear-size external memory data structures for approximate range searching. Our first structure, the BAR-B-tree, stores a set of N points in Rd and ...
The Internet has changed the way people look for information. Users now expect the answers to their questions to be available through a simple web search. Web search engines are i...
This paper describes a small study of children's drawings in the context of tangible interaction. The study was intended to discover what children could draw that would indic...