We present experimental results showing that search for target items in a three-tiered categorization structure (approximately 8 links per page) is faster than a comparable two-ti...
This paper presents a language in which information flow is securely controlled by a type system, yet the security class of data can vary dynamically. Information flow policies ...
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
This paper presents a spatial-semantic modeling system featuring automated learning of object-place relations from an online annotated database, and the application of these relat...
Pooja Viswanathan, David Meger, Tristram Southey, ...