Learning Micro-Planning Rules for Preventative Expressions

Learning Multi-Class Neural-Network Models from Electroencephalograms

Learning Multi-modal Similarity

Learning Multiple Belief Propagation Fixed Points for Real Time Inference

Learning Nested Agent Models in an Information Economy

Learning networks determined by the ratio of prior and data

Learning Nonlinear Dynamic Models

Learning nonsingular phylogenies and hidden Markov models

Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction

Learning Optimal Augmented Bayes Networks

Learning optimally diverse rankings over large document collections

Learning Parse and Translation Decisions From Examples With Rich Context

Learning Parse and Translation Decisions From Examples With Rich Context

Learning Part-of-Speech Guessing Rules from Lexicon: Extension to Non-Concatenative Operations

Learning Performance of Prediction Markets with Kelly Bettors

Learning Phonotactics Using ILP

Learning Physics from the Real World by Direct Observation

Learning Poisson Binomial Distributions

Learning Policies with External Memory

Learning Polynomial Networks for Classification of Clinical Electroencephalograms