Tracking the Best Linear Predictor.
Regularized Principal Manifolds.
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms.
Bayes Point Machines.
Sparse Bayesian Learning and the Relevance Vector Machine.
SVMTorch: Support Vector Machines for Large-Scale Regression Problems.
Lagrangian Support Vector Machines.