48 citations · 153 across the 35 of their papers we have counts for
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stat.ML2011
Linear Latent Force Models using Gaussian Processes
Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
Purely data driven approaches for machine learning present difficulties when data is scarce relative to the complexity of the model or when the model is forced to extrapolate. On t…
stat.ML2011
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez, Lorenzo Rosasco, Neil D. Lawrence
Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they pr…