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NIPS
2007
13 years 10 months ago
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
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...
AAAI
2006
13 years 10 months ago
Active Learning with Near Misses
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...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
DBSEC
2006
122views Database» more  DBSEC 2006»
13 years 10 months ago
A Framework for Flexible Access Control in Digital Library Systems
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...
Indrajit Ray, Sudip Chakraborty
IJCAI
2001
13 years 10 months ago
Approximate inference for first-order probabilistic languages
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...
Hanna Pasula, Stuart J. Russell
IJCAI
2003
13 years 10 months ago
Expressive Power of Tree and String Based Wrappers
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 ...
Daisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa