We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
PaperLens is a novel visualization that reveals trends, connections, and activity throughout a conference community. It tightly couples views across papers, authors, and reference...
Bongshin Lee, Mary Czerwinski, George G. Robertson...
Prior research has shown that the efficient use of graphical user interfaces strongly depends on human capabilities for spatial cognition. Although it is tempting to believe that ...
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
It is probably fair to say that exact inference in graphical models is considered a solved problem, at least regarding its computational complexity: it is exponential in the treew...