Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Traditional access control models are often found to be inadequate for digital libraries. This is because the user population for digital libraries is very dynamic and not complete...
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
There exist two types of wrappers: the string based wrapper such as the LR wrapper, and the tree based wrapper. A tree based wrapper designates extraction regions by nodes on the ...