The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
We present a novel framework for indexing and searching schema-less XML documents based on concise summaries of their structural and textual content. Our search query language is X...
Keyword searching while very successful in narrowing down the contents of the Web to the pertaining subset of information, has two primary drawbacks. First, the accuracy of the se...
In this paper we propose a novel document retrieval model in which text queries are augmented with multi-dimensional taxonomy restrictions. These restrictions may be relaxed at a ...
Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Chr...
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...