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JMLR
2008
209views more  JMLR 2008»
15 years 1 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JMLR
2006
113views more  JMLR 2006»
15 years 1 months ago
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
ENGL
2007
89views more  ENGL 2007»
15 years 1 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
ENVSOFT
2007
126views more  ENVSOFT 2007»
15 years 1 months ago
Uncertainty and precaution in environmental management: Insights from the UPEM conference
Communication across the science-policy interface is complicated by uncertainty and ignorance associated with predictions on which to base policies. The international symposium ā€...
Jeroen P. van der Sluijs
NN
2006
Springer
141views Neural Networks» more  NN 2006»
15 years 1 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston