Stat-Ml
Structured variable selection in support vector machines
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
Information theoretic model validation for clustering
State Space Realization Theorems For Data Mining
Classification of Cervical Cancer Dataset
SPADES and mixture models
Particle identification in ground-based gamma-ray astronomy using convolutional neural networks
A Geometric Proof of Calibration
Multi-Way, Multi-View Learning
Hodge Theory on Metric Spaces
KNIFE: Kernel Iterative Feature Extraction
Multiple Hypothesis Testing in Pattern Discovery
Transposable regularized covariance models with an application to missing data imputation
On landmark selection and sampling in high-dimensional data analysis
Model-Consistent Sparse Estimation through the Bootstrap
Streamed Learning: One-Pass SVMs
Discrete Temporal Models of Social Networks
Differential Privacy with Compression
The Infinite Hierarchical Factor Regression Model
Inter Genre Similarity Modelling For Automatic Music Genre Classification
Bayesian orthogonal component analysis for sparse representation
Tuning parameter selection for penalized likelihood estimation of inverse covariance matrix
