Three key forces are shaping the modern Computer Science (CS) curriculum: (1) new topics/courses are squeezing out existing ones; (2) a focus on "big picture" and interd...
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
We address the well-known problem of determining the capacity of constrained coding systems. While the onedimensional case is well understood to the extent that there are technique...
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...