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Regression

4964 directly classified papers

Papers per year

Papers

A Scalable Machine Learning Approach to Go NIPS 2006
On Transductive Regression NIPS 2006
Ordinal Regression by Extended Binary Classification NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
Sparse Boosting JMLR 2006
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error JMLR 2006
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NIPS 2006
Bayesian Ensemble Learning NIPS 2006
A Humanlike Predictor of Facial Attractiveness NIPS 2006
Quantile Regression Forests JMLR 2006
Nonlinear physically-based models for decoding motor-cortical population activity NIPS 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006
A Gravity Balancing Passive Exoskeleton for the Human Leg RSS 2006
Unsupervised Regression with Applications to Nonlinear System Identification NIPS 2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006
Learning Coordinate Covariances via Gradients JMLR 2006
Nonparametric Quantile Estimation JMLR 2006
Learning from Multiple Sources NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005
A Unifying View of Sparse Approximate Gaussian Process Regression JMLR 2005
Managing Diversity in Regression Ensembles JMLR 2005
Gaussian Processes for Ordinal Regression JMLR 2005