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» Probabilistic Algorithms in Robotics
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NIPS
2007
15 years 8 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
UAI
2008
15 years 8 months ago
The Computational Complexity of Sensitivity Analysis and Parameter Tuning
While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
Johan Kwisthout, Linda C. van der Gaag
ACL
2004
15 years 8 months ago
Aligning words using matrix factorisation
Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projec...
Cyril Goutte, Kenji Yamada, Éric Gaussier
NIPS
2004
15 years 8 months ago
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
Yuanqing Lin, Daniel D. Lee
NIPS
2001
15 years 8 months ago
TAP Gibbs Free Energy, Belief Propagation and Sparsity
The adaptive TAP Gibbs free energy for a general densely connected probabilistic model with quadratic interactions and arbritary single site constraints is derived. We show how a ...
Lehel Csató, Manfred Opper, Ole Winther