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CORR
2012
Springer
1 months 7 days ago
2012
Springer
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
ICDAR
2011
IEEE
5 months 5 days ago
2011
IEEE
—Identifying unusual or unique characteristics of an observed sample in useful in forensics in general and handwriting analysis in particular. Rarity is formulated as the probabi...
ICASSP
2011
IEEE
9 months 11 days ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
TSP
2010
1 years 6 days ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
TSP
2010
1 years 6 days ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
JMLR
2010
1 years 9 days ago
2010
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
JMLR
2010
1 years 9 days ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
ENASE
2010
1 years 12 days ago
2010
Textual models in MDD typically are generated in their concrete syntax using a template based language. On the contrary, graphical models as a generated in abstract syntax and then...
COGSR
2011
1 years 16 days ago
2011
Cognitive architectures need to resolve the diversity dilemma – i.e., to blend diversity and simplicity – in order to couple functionality and efficiency with integrability, e...
BICA
2010
1 years 16 days ago
2010
Graphical cognitive architectures implement their functionality through localized message passing among computationally limited nodes. First-order variables
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