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» Conditioning Probabilistic Databases
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NIPS
2001
14 years 11 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
CVPR
2004
IEEE
16 years 4 days ago
Graphical Models for Graph Matching
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler mo...
Dante Augusto Couto Barone, Terry Caelli, Tib&eacu...
CIKM
2009
Springer
15 years 4 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
BMCBI
2010
147views more  BMCBI 2010»
14 years 10 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
ECRTS
2007
IEEE
15 years 4 months ago
Probabilistic Admission Control to Govern Real-Time Systems under Overload
Existing real-time research focuses on how to formulate, model and enforce timeliness guarantees for task sets whose correctness has a temporal aspect. However, the resulting syst...
Claude-Joachim Hamann, Michael Roitzsch, Lars Reut...