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Regression

5,004 papers

Papers per year

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Papers

Sparsity of SVMs that use the epsilon-insensitive loss NIPS 2008
Non-parametric Regression Between Manifolds NIPS 2008
Global Ranking Using Continuous Conditional Random Fields NIPS 2008
Simple Local Models for Complex Dynamical Systems NIPS 2008
On the Suitable Domain for SVM Training in Image Coding JMLR 2008
A Tutorial on Conformal Prediction JMLR 2008
A Library for Locally Weighted Projection Regression 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 Trace Norm Minimization JMLR 2008
Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008
Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
Forecasting Web Page Views: Methods and Observations JMLR 2008
Model Selection in Kernel Based Regression using the Influence Function JMLR 2008
Non-Parametric Modeling of Partially Ranked Data JMLR 2008
Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008
Compressed Regression NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
FilterBoost: Regression and Classification on Large Datasets NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007