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Regression

4964 directly classified papers

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Papers

Orthogonal Matching Pursuit with Replacement NIPS 2011
Additive Gaussian Processes NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors NIPS 2011
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
k-NN Regression Adapts to Local Intrinsic Dimension NIPS 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
Learning Transformation Models for Ranking and Survival Analysis JMLR 2011
Automatic Calibration of Multiple Coplanar Sensors RSS 2011
Kernel Regression in the Presence of Correlated Errors JMLR 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011
Multiple Kernel Learning Algorithms JMLR 2011
Union Support Recovery in Multi-task Learning JMLR 2011
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
Efficient Learning with Partially Observed Attributes JMLR 2011
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011