Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Knowledge about user goals is crucial for realizing the vision of intelligent agents acting upon user intent on the web. In a departure from existing approaches, this paper propos...
Markus Strohmaier, Peter Prettenhofer, Mark Kr&oum...
We present an interactive modelling technique, which reconstructs three-dimensional objects from user-drawn twodimensional strokes. We first extract a skeleton from the 2D contour...
Abstract. This paper describes a methodology for constructing aligned German-Chinese corpora from movie subtitles. The corpora will be used to train a special machine translation s...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...