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UAI
1994
13 years 9 months ago
Approximation Algorithms for the Loop Cutset Problem
We show how to nd a minimum weight loop cutset in a Bayesian network with high probability. Finding such a loop cutset is the rst step in the method of conditioning for inference....
Ann Becker, Dan Geiger
ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
14 years 1 months ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Jean-Marc Bernard
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 2 months ago
Network Estimation and Packet Delivery Prediction for Control over Wireless Mesh Networks
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...
Phoebus Chen, Chithrupa Ramesh, Karl Henrik Johans...
NIPS
2001
13 years 9 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...
MICCAI
2005
Springer
14 years 8 months ago
Uncertainty in White Matter Fiber Tractography
In this work we address the uncertainty associated with fiber paths obtained in white matter fiber tractography. This uncertainty, which arises for example from noise and partial v...
Ola Friman, Carl-Fredrik Westin