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UAI
1997
15 years 5 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
136
Voted
TWC
2008
172views more  TWC 2008»
15 years 4 months ago
A Software-Defined Radio System for Backscatter Sensor Networks
Backscatter radio is proposed for sensor networks. In that way, the transmitter for each sensor is simplified to a transistor connected to an antenna and therefore, the cost for ea...
Giovanni Vannucci, Aggelos Bletsas, Darren Leigh
138
Voted
TMI
2010
165views more  TMI 2010»
15 years 2 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
KDD
2012
ACM
168views Data Mining» more  KDD 2012»
13 years 6 months ago
Mining contentions from discussions and debates
Social media has become a major source of information for many applications. Numerous techniques have been proposed to analyze network structures and text contents. In this paper,...
Arjun Mukherjee, Bing Liu 0001
JSAC
2010
105views more  JSAC 2010»
14 years 11 months ago
Multi-Cell MIMO Cooperative Networks: A New Look at Interference
This paper presents an overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks. In dense network...
David Gesbert, Stephen V. Hanly, Howard Huang, Shl...