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» Improving on Expectation Propagation
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EMNLP
2006
13 years 10 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
ICANN
2007
Springer
14 years 2 months ago
A Distributed Message Passing Algorithm for Sensor Localization
We propose a fully distributed message passing algorithm based on expectation propagation for the purpose of sensor localization. Sensors perform noisy measurements of their mutual...
Max Welling, Joseph J. Lim
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 6 months ago
Optimal control in two-hop relay routing
We study the optimal control of propagation of packets in delay tolerant mobile ad-hoc networks. We consider a two-hop forwarding policy under which the expected number of nodes ca...
Eitan Altman, Tamer Basar, Francesco De Pellegrini
JMLR
2010
147views more  JMLR 2010»
13 years 3 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
ICIP
2007
IEEE
14 years 10 months ago
Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC
In this paper, we propose a novel error concealment algorithm for the whole-frame loss based on multiframe. In concealing procedure, besides improve the quality of the concealed l...
Yi Liu, Jiajun Bu, Chun Chen, Linjian Mo, Kewei He