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Regression

4964 directly classified papers

Papers per year

Papers

SpAM: Sparse Additive Models NIPS 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NIPS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
Active Preference Learning with Discrete Choice Data NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Catching Change-points with Lasso NIPS 2007
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
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