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An Empirical Comparison of V-fold Penalisation and Cross Validation for Model...
Model selection is a crucial issue in machine-learning and a wide variety of penalisation methods (with possibly data dependent complexity penalties) have recently... -
A Note on k-support Norm Regularized Risk Minimization
The k-support norm has been recently introduced to perform correlated sparsity regularization. Although Argyriou et al. only reported experiments using squared loss,... -
Predictive Estimation of Wireless Link Performance from Medium Physical Param...
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