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» A DEA approach for model combination
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PRL
2000
182views more  PRL 2000»
15 years 6 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
JAIR
2010
145views more  JAIR 2010»
15 years 5 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
JMLR
2010
105views more  JMLR 2010»
15 years 1 months ago
Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data
In this study, we combined the ChIP-seq and the transcriptome data and integrated these data into signaling cascades. Integration was realized through a framework based on data- a...
Zerrin Isik, Volkan Atalay, Rengül Çet...
WWW
2009
ACM
16 years 7 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
WWW
2008
ACM
16 years 7 months ago
A differential notion of place for local search
For extracting the characteristics a specific geographic entity, and notably a place, we propose to use dynamic Extreme Tagging Systems in combination with the classic approach of...
Vlad Tanasescu, John Domingue