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Feature Selection

479 papers

Papers per year

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Papers

Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Submodularity Cuts and Applications NIPS 2009
Unsupervised Feature Selection for the $k$-means Clustering Problem NIPS 2009
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
Robust Regression and Lasso NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule NIPS 2008
Dynamic visual attention: searching for coding length increments NIPS 2008
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NIPS 2007
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007