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» Tractable Classes for Directional Resolution
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ICML
2007
IEEE
15 years 11 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson
PVLDB
2010
85views more  PVLDB 2010»
14 years 8 months ago
Evaluating Entity Resolution Results
Entity Resolution (ER) is the process of identifying groups of records that refer to the same real-world entity. Various measures (e.g., pairwise F1, cluster F1) have been used fo...
David Menestrina, Steven Whang, Hector Garcia-Moli...
102
Voted
JMLR
2010
143views more  JMLR 2010»
14 years 4 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ECCV
2010
Springer
15 years 3 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
STACS
2010
Springer
15 years 5 months ago
On Iterated Dominance, Matrix Elimination, and Matched Paths
We study computational problems that arise in the context of iterated dominance in anonymous games, and show that deciding whether a game can be solved by means of iterated weak d...
Felix Brandt, Felix A. Fischer, Markus Holzer