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» Bayesian Parameter Estimation: A Monte Carlo Approach
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CVPR
2005
IEEE
14 years 9 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
CVPR
2007
IEEE
14 years 9 months ago
Generative Graphical Models for Maneuvering Object Tracking and Dynamics Analysis
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
Xin Fan, Guoliang Fan
ACL
2007
13 years 8 months ago
A fully Bayesian approach to unsupervised part-of-speech tagging
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
Sharon Goldwater, Tom Griffiths
TVLSI
2010
13 years 2 months ago
Variation-Aware System-Level Power Analysis
Abstract-- The operational characteristics of integrated circuits based on nanoscale semiconductor technology are expected to be increasingly affected by variations in the manufact...
Saumya Chandra, Kanishka Lahiri, Anand Raghunathan...
AAAI
2006
13 years 8 months ago
Probabilistic Self-Localization for Sensor Networks
This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
Dimitri Marinakis, Gregory Dudek