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AAAI
2010
13 years 8 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
RSFDGRC
2005
Springer
208views Data Mining» more  RSFDGRC 2005»
14 years 27 days ago
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...
Dan Wu, Cory J. Butz
SEMCO
2007
IEEE
14 years 1 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
CVPR
2012
IEEE
11 years 9 months ago
Probabilistic tensor voting for robust perceptual grouping
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
Dian Gong, Gérard G. Medioni
JMLR
2012
11 years 10 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting