Stat-Ml
Efficient algorithm to select tuning parameters in sparse regression modeling with regularization
Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models
Active Learning for Node Classification in Assortative and Disassortative Networks
Nonparametric Link Prediction in Large Scale Dynamic Networks
Learning Discriminative Metrics via Generative Models and Kernel Learning
The Bayesian Bridge
Low-rank data modeling via the Minimum Description Length principle
An application of the stationary phase method for estimating probability densities of function derivatives
Learning Valuation Functions
Simulation-based optimal Bayesian experimental design for nonlinear systems
Dimension Reduction Using Rule Ensemble Machine Learning Methods: A Numerical Study of Three Ensemble Methods
Algebraic Geometric Comparison of Probability Distributions
Generalised elastic nets
Partition Decomposition for Roll Call Data
Structured Sparsity and Generalization
Kernel Methods for the Approximation of Nonlinear Systems
Toward Parts-Based Scene Understanding with Pixel-Support Parts-Sparse Pictorial Structures
Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing
Modern hierarchical, agglomerative clustering algorithms
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Ensemble Risk Modeling Method for Robust Learning on Scarce Data
Trace Lasso: a trace norm regularization for correlated designs
