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IPSN
2009
Springer
15 years 7 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
101
Voted
ICDM
2009
IEEE
132views Data Mining» more  ICDM 2009»
15 years 7 months ago
Bayesian Overlapping Subspace Clustering
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
Qiang Fu, Arindam Banerjee
112
Voted
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 7 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
SEMWEB
2007
Springer
15 years 6 months ago
An Ontology-based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines
Clinical Practice Guidelines (CPGs) play an important role in improving the quality of care and patient outcomes. Although several machine-readable representations of practice guid...
Hai-Tao Zheng, Bo-Yeong Kang, Hong-Gee Kim
ECCB
2003
IEEE
15 years 6 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...