Sparse Prediction with the k-Overlap Norm

Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning

SparseCodePicking: feature extraction in mass spectrometry using sparse coding algorithms

Sparsification and feature selection by compressive linear regression

Sparsistent Estimation of Time-Varying Discrete Markov Random Fields

Sparsity regret bounds for individual sequences in online linear regression

Sparsity-accuracy trade-off in MKL

Spatio-Temporal Graphical Model Selection

Spectral approximations in machine learning

Spectral clustering and the high-dimensional stochastic blockmodel

Spectral clustering based on local linear approximations

Spectral dimensionality reduction for HMMs

Speeding up the binary Gaussian process classification

SpicyMKL

Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery

Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models

Stability of Density-Based Clustering

State Space Realization Theorems For Data Mining

Statistical Decision Making for Authentication and Intrusion Detection