We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
Realism has always been a goal in computer graphics. However, the algorithms involved in mimicking ical world are often complex, abstract, and sensitive to changes in experimental...
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
Abstract. We present a domain-independent algorithm for planning that computes macros in a novel way. Our algorithm computes macros “on-the-fly” for a given set of states and ...
Abstract In this paper we question the problem of a software engineering researcher, who in his daily work, has to deal with researching, teaching and learning activities at the sa...