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» Decision Making Using Probabilistic Inference Methods
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ACL
2010
14 years 7 months ago
Blocked Inference in Bayesian Tree Substitution Grammars
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
Trevor Cohn, Phil Blunsom
SIGIR
1998
ACM
15 years 2 months ago
DOLORES: A System for Logic-Based Retrieval of Multimedia Objects
We describe the design and implementation of a system for logic-based multimedia retrieval. As highlevel logic for retrieval of hypermedia documents, we have developed a probabilis...
Norbert Fuhr, Norbert Gövert, Thomas Röl...
EDBT
2008
ACM
180views Database» more  EDBT 2008»
15 years 10 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
EMNLP
2010
14 years 7 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
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ICML
2010
IEEE
14 years 11 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...