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» Belief Update Using Graphs
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CISS
2008
IEEE
14 years 4 months ago
Distributed estimation in wireless sensor networks via variational message passing
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
Yanbing Zhang, Huaiyu Dai
NAR
2008
159views more  NAR 2008»
13 years 10 months ago
The UCSC Genome Browser Database: 2008 update
The University of California, Santa Cruz, Genome Browser Database (GBD) provides integrated sequence and annotation data for a large collection of vertebrate and model organism ge...
Donna Karolchik, Robert M. Kuhn, Robert Baertsch, ...
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
12 years 10 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
INFOCOM
2011
IEEE
13 years 1 months ago
SigSag: Iterative detection through soft message-passing
—The multiple-access framework of ZigZag decoding [1] is a useful technique for combating interference via multiple repeated transmissions, and is known to be compatible with dis...
Arash Saber Tehrani, Alexandros G. Dimakis, Michae...
ITS
2000
Springer
94views Multimedia» more  ITS 2000»
14 years 2 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn