We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Abstract. We present the first comprehensive approach to integrating cardinality and weight rules into conflict-driven ASP solving. We begin with a uniform, constraint-based charac...
Martin Gebser, Roland Kaminski, Benjamin Kaufmann,...
Abstract. We propose the study of graphs that are defined by lowcomplexity distributed and deterministic agents. We suggest that this viewpoint may help introduce the element of in...
We propose to demonstrate SGL, a language and system for writing computer games using data management techniques. We will demonstrate a complete game built using the system, and s...
Robert Albright, Alan J. Demers, Johannes Gehrke, ...