Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression

Landau Theory of Adaptive Integration in Computational Intelligence

Laplacian Support Vector Machines Trained in the Primal

Large Scale Correlation Screening

Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models

Large Vector Auto Regressions

Lasso type classifiers with a reject option

Learning AMP Chain Graphs under Faithfulness

Learning an Interactive Segmentation System

Learning Bayesian Networks with the bnlearn R Package

Learning Feature Hierarchies with Centered Deep Boltzmann Machines

Learning from dependent observations

Learning from Distributions via Support Measure Machines

Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures

Learning Graph Structure in Discrete Markov Random Fields

Learning High-Dimensional Mixtures of Graphical Models

Learning Latent Tree Graphical Models

Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees

Learning Nonlinear Functions Using Regularized Greedy Forest

Learning Planar Ising Models