Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Descriptions of Entities

Learning Dependencies between Case Frame Slots

Learning Dependency-Based Compositional Semantics

Learning Determinantal Point Processes

Learning Deterministic Regular Expressions for the Inference of Schemas from XML Data

Learning Discriminative Metrics via Generative Models and Kernel Learning

Learning DNF Expressions from Fourier Spectrum

Learning DTW Global Constraint for Time Series Classification

Learning Efficient Disambiguation

Learning Equilibria in Games by Stochastic Distributed Algorithms

Learning Equilibria with Partial Information in Decentralized Wireless Networks

Learning Equilibrium Play for Stochastic Parallel Gaussian Interference Channels

Learning Exercises in Astronomy for Elementary Students

Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity

Learning Fault-tolerant Speech Parsing with SCREEN

Learning Features that Predict Cue Usage

Learning for Adaptive Real-time Search

Learning for Dynamic Bidding in Cognitive Radio Resources

Learning for Dynamic subsumption

Learning From An Optimization Viewpoint