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NIPS
2001
14 years 15 days ago
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
Anand Rangarajan, Alan L. Yuille
ANOR
2010
125views more  ANOR 2010»
13 years 11 months ago
A Bayesian approach for the alignment of high-resolution NMR spectra
: The rapid progresses in human genome project and biotechnologies result in the sheer volume of datasets associated with in-depth scientific knowledge. Metabolomics is defined as ...
Seoung Bum Kim, Zhou Wang, Basavaraj Hiremath
ICML
2009
IEEE
14 years 12 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
ICML
2006
IEEE
14 years 12 months ago
Bayesian learning of measurement and structural models
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
Ricardo Silva, Richard Scheines
SIGECOM
2009
ACM
132views ECommerce» more  SIGECOM 2009»
14 years 5 months ago
Limited and online supply and the bayesian foundations of prior-free mechanism design
We study auctions for selling a limited supply of a single commodity in the case where the supply is known in advance and the case it is unknown and must be instead allocated in a...
Nikhil R. Devanur, Jason D. Hartline