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Regression

4964 directly classified papers

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Papers

Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression JMLR 2009
Incorporating Functional Knowledge in Neural Networks JMLR 2009
Subgroup Analysis via Recursive Partitioning JMLR 2009
Properties of Monotonic Effects on Directed Acyclic Graphs JMLR 2009
Non-parametric learning to aid path planning over slopes RSS 2009
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NIPS 2009
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009
Dlib-ml: A Machine Learning Toolkit JMLR 2009
A Least-squares Approach to Direct Importance Estimation JMLR 2009
Sparse Online Learning via Truncated Gradient JMLR 2009
Nieme: Large-Scale Energy-Based Models JMLR 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors JMLR 2009
Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009
Periodic Step Size Adaptation for Single Pass On-line Learning NIPS 2009
Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009
Stable and Efficient Gaussian Process Calculations JMLR 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009
Learning Non-Linear Combinations of Kernels NIPS 2009
Learning to Rank by Optimizing NDCG Measure NIPS 2009
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009