Regression

Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 Nonparametric Quantile Estimation JMLR 2006 On Transductive Regression NeurIPS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 Predicting spike times from subthreshold dynamics of a neuron NeurIPS 2006 Quantile Regression Forests JMLR 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006 Slip Prediction Using Visual Information RSS 2006 Sparse Boosting JMLR 2006 Unsupervised Regression with Applications to Nonlinear System Identification NeurIPS 2006 A Unifying View of Sparse Approximate Gaussian Process Regression JMLR 2005 Gaussian Processes for Ordinal Regression JMLR 2005 Learning Multiple Tasks with Kernel Methods JMLR 2005 Managing Diversity in Regression Ensembles JMLR 2005 Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005 Tree-Based Batch Mode Reinforcement Learning JMLR 2005 Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005 Knowledge-Based Kernel Approximation JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004 Designing Committees of Models through Deliberate Weighting of Data Points JMLR 2003 MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003 Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003 Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002