Stat-Ml
Similarity Learning for Provably Accurate Sparse Linear Classification
A Linear Approximation to the chi^2 Kernel with Geometric Convergence
Evaluating Classifiers Without Expert Labels
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning
Topic Extraction and Bundling of Related Scientific Articles
Learning a peptide-protein binding affinity predictor with kernel ridge regression
Poisoning Attacks against Support Vector Machines
Transferring Subspaces Between Subjects in Brain-Computer Interfacing
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
Is margin preserved after random projection?
Inferring land use from mobile phone activity
Relational Data Mining Through Extraction of Representative Exemplars
A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process
Parsimonious module inference in large networks
Bayesian Analysis for miRNA and mRNA Interactions Using Expression Data
Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
Training Support Vector Machines Using Frank-Wolfe Optimization Methods
Better subset regression
Expectation-Propogation for the Generative Aspect Model
The Interaction of Entropy-Based Discretization and Sample Size: An Empirical Study
Sparse Nonparametric Graphical Models
