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Regression

4964 directly classified papers

Papers per year

Papers

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Modeling human function learning with Gaussian processes NIPS 2008
Overlaying classifiers: a practical approach for optimal ranking NIPS 2008
Sparse Online Learning via Truncated Gradient NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule NIPS 2008
Optimal Response Initiation: Why Recent Experience Matters NIPS 2008
Estimation of Information Theoretic Measures for Continuous Random Variables NIPS 2008
On the Suitable Domain for SVM Training in Image Coding JMLR 2008
Global Ranking Using Continuous Conditional Random Fields NIPS 2008
Consistency of Trace Norm Minimization JMLR 2008
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NIPS 2008
Privacy-preserving logistic regression NIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
Tighter Bounds for Structured Estimation NIPS 2008
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
Predicting the Geometry of Metal Binding Sites from Protein Sequence NIPS 2008
Non-Parametric Modeling of Partially Ranked Data JMLR 2008
Improved Moves for Truncated Convex Models NIPS 2008
Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008