This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Hazard detection and prevention of natural and manmade disasters at critical civil infrastructure is becoming increasingly important. Recent events, such as earthquakes and terror...
Maria-Cruz Villa-Uriol, Falko Kuester, Oscar Garc&...
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
In this paper, we study the use of XML tagged keywords (or simply key-tags) to search an XML fragment in a collection of XML documents. We present techniques that are able to empl...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...