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Regression

5,004 papers

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Papers

Infinite-σ Limits For Tikhonov Regularization JMLR 2006
Quantile Regression Forests JMLR 2006
Sparse Boosting JMLR 2006
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis JMLR 2006
Nonparametric Quantile Estimation JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006
Slip Prediction Using Visual Information RSS 2006
A Gravity Balancing Passive Exoskeleton for the Human Leg RSS 2006
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006
Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006
Tree-Based Batch Mode Reinforcement Learning JMLR 2005
Learning Multiple Tasks with Kernel Methods JMLR 2005
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005
Gaussian Processes for Ordinal Regression JMLR 2005
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005
Managing Diversity in Regression Ensembles JMLR 2005
A Unifying View of Sparse Approximate Gaussian Process Regression JMLR 2005
Knowledge-Based Kernel Approximation JMLR 2004
Some Properties of Regularized Kernel Methods JMLR 2004
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
Designing Committees of Models through Deliberate Weighting of Data Points JMLR 2003
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001