Learning Gaussian Mixtures with Arbitrary Separation

Learning Hidden Markov Models using Non-Negative Matrix Factorization

Learning Hierarchical and Topographic Dictionaries with Structured Sparsity

Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning

Learning in an immersive digital theater

Learning in Authentic Earth and Planetary Contexts

Learning in embodied action-perception loops through exploration

Learning in Riemannian Orbifolds

Learning Isometric Separation Maps

Learning Item Trees for Probabilistic Modelling of Implicit Feedback

Learning Kernel-Based Halfspaces with the Zero-One Loss

Learning Low-Density Separators

Learning Lunar Science Through the Selene Videogame

Learning Multiple Belief Propagation Fixed Points for Real Time Inference

Learning networks determined by the ratio of prior and data

Learning nonsingular phylogenies and hidden Markov models

Learning Optimal Augmented Bayes Networks

Learning optimally diverse rankings over large document collections

Learning Physics from the Real World by Direct Observation