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» Nonparametric Belief Propagation
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ICMLA
2010
14 years 7 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
CISS
2010
IEEE
14 years 1 months ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda
AI
2011
Springer
14 years 1 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
EMNLP
2011
13 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
ICPR
2008
IEEE
15 years 11 months ago
Asymmetric post-processing for stereo correspondence
This paper presents a novel approach that performs post-processing for stereo correspondence. We improve the performance of stereo correspondence by performing consistency check a...
Dong Bo Min, Juhyun Oh, Kwanghoon Sohn