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» Bayesian Structure from Motion
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UAI
1996
15 years 2 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
145
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BMCBI
2006
223views more  BMCBI 2006»
15 years 24 days ago
PSMIX: an R package for population structure inference via maximum likelihood method
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
Baolin Wu, Nianjun Liu, Hongyu Zhao
AIEDU
2004
77views more  AIEDU 2004»
15 years 19 days ago
Interacting with Inspectable Bayesian Student Models
Inspectable student models focus on the idea of letting students and teachers interact with the representation of the student that the system maintains. Both humans and the system ...
Juan-Diego Zapata-Rivera, Jim E. Greer
111
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JMLR
2007
137views more  JMLR 2007»
15 years 19 days ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
117
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NIPS
2008
15 years 2 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink