Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
The TREC 2003 question answering track contained two tasks, the passages task and the main task. In the passages task, systems returned a single text snippet in response to factoi...
Creating comprehensive simulation models can be expensive and time consuming. This paper discusses our efforts to develop a general methodology that will allow users to quickly an...