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» Linear Programming Relaxations and Belief Propagation - An E...
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EMNLP
2010
13 years 2 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....
UAI
2008
13 years 6 months ago
Tightening LP Relaxations for MAP using Message Passing
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...
CPAIOR
2008
Springer
13 years 6 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
ECCV
2008
Springer
14 years 6 months ago
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles
This paper presents a new MRF optimization algorithm, which is derived from Linear Programming and manages to go beyond current state-of-the-art techniques (such as those based on ...
Nikos Komodakis, Nikos Paragios
CORR
2008
Springer
150views Education» more  CORR 2008»
13 years 5 months ago
Message-passing for Maximum Weight Independent Set
Abstract--In this paper, we investigate the use of messagepassing algorithms for the problem of finding the max-weight independent set (MWIS) in a graph. First, we study the perfor...
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky