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IPMU
2010
Springer
13 years 4 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
ICASSP
2009
IEEE
13 years 10 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
PERCOM
2010
ACM
13 years 10 months ago
Decomposing power measurements for mobile devices
—Modern mobile phones are an appealing platform for pervasive computing applications. However, the complexity of these devices makes it difficult for developers to understand th...
Andrew Colin Rice, Simon Hay
KES
2006
Springer
13 years 6 months ago
Social Capital in Online Social Networks
The problem of social capital in context of the online social networks is presented in the paper. Not only the specific elements, which characterize the single person and influence...
Przemyslaw Kazienko, Katarzyna Musial
ICANN
2007
Springer
14 years 12 days ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...