Regression

A rational model of preference learning and choice prediction by children NeurIPS 2008 A Tutorial on Conformal Prediction JMLR 2008 Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008 Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008 Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008 Consistency of Trace Norm Minimization JMLR 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NeurIPS 2008 Estimating vector fields using sparse basis field expansions NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Forecasting Web Page Views: Methods and Observations JMLR 2008 Global Ranking Using Continuous Conditional Random Fields NeurIPS 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008 Model Selection in Kernel Based Regression using the Influence Function JMLR 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008