The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
When integrating dierent system components, the interaction between dierent features is often error prone. Typically errors occur on interruption, concurrency or disabling/ enabli...
Abstract. We address the general problem of determining the validity of boolean combinations of equalities and inequalities between real-valued expressions. In particular, we consi...
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...