An Introduction to Conditional Random Fields

An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors

Analysis of a Random Forests Model

Analysis of boosting algorithms using the smooth margin function

AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem

Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation

Approximate Gaussian Integration using Expectation Propagation

Asymptotic Accuracy of Distribution-Based Estimation for Latent Variables

Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods

Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods

Asynchronous Stochastic Approximation with Differential Inclusions

Auto-associative models, nonlinear Principal component analysis, manifolds and projection pursuit

Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence

Autoregressive Kernels For Time Series