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Regression

4964 directly classified papers

Papers per year

Papers

Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
Supervised Topic Models NIPS 2007
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NIPS 2007
On the Representer Theorem and Equivalent Degrees of Freedom of SVR JMLR 2007
FilterBoost: Regression and Classification on Large Datasets NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
Compressed Regression NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Boosted Classification Trees and Class Probability/Quantile Estimation JMLR 2007
Hierarchical Average Reward Reinforcement Learning JMLR 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007
Learnability of Gaussians with Flexible Variances JMLR 2007
Stagewise Lasso JMLR 2007
Logistic Regression for Single Trial EEG Classification NIPS 2006
Infinite-σ Limits For Tikhonov Regularization JMLR 2006
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006
Learning Motion Style Synthesis from Perceptual Observations NIPS 2006
Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006
Slip Prediction Using Visual Information RSS 2006
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis JMLR 2006