Learning an L1-regularized Gaussian Bayesian network in the equivalence class space. by Vidaurre, D, Bielza, C, Larrañaga, P

A Survey of L1 Regression by Vidaurre, D, Bielza, C, Larrañaga, P

Sparse regularized local regression by Vidaurre, D, Bielza, C, Larranaga, P

Lazy lasso for local regression by Vidaurre, D, Bielza, C, Larrañaga, P

AN L1-Regularized naïve bayes-inspired classifier for discarding redundant and irrelevant predictors by Vidaurre, D, Bielza, C, Larrañaga, P

Sparse regularized local regression by Vidaurre, D, Bielza, C, Larranãga, P

Classification of neural signals from sparse autoregressive features by Vidaurre, D, Bielza, C, Larrañaga, P

On nonlinearity in neural encoding models applied to the primary visual cortex. by Vidaurre, D, Bielza, C, Larrañaga, P

A Survey of L-1 Regression by Vidaurre, D, Bielza, C, Larranaga, P

Classification of neural signals from sparse autoregressive features by Vidaurre, D, Bielza, C, Larranaga, P

Bayesian sparse partial least squares. by Vidaurre, D, Gerven, v, Bielza, C, Larrañaga, P, Heskes, T

A new feature extraction method for signal classification applied to cord dorsum potential detection. by Vidaurre, D, Rodríguez, E, Bielza, C, Larrañaga, P, Rudomin, P