Learning Probabilistic Hierarchical Task Networks to Capture User Preferences

Learning Probabilistic Models of Word Sense Disambiguation

Learning Random Kernel Approximations for Object Recognition

Learning rational stochastic languages

Learning Read-Once Functions Using Subcube Identity Queries

Learning Recursive Segments for Discourse Parsing

Learning representations by back-propagating errors

Learning Representations by Maximizing Compression

Learning Residual Finite-State Automata Using Observation Tables

Learning Resources on Ultraviolet Astronomy: The Shuttle-Borne Spacelab/Astro Missions

Learning RoboCup-Keepaway with Kernels

Learning rules from multisource data for cardiac monitoring

Learning Sentence-internal Temporal Relations

Learning Sequence Neighbourhood Metrics

Learning Sequences

Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems

Learning Similarity for Character Recognition and 3D Object Recognition

Learning similarity-based word sense disambiguation from sparse data

Learning Smooth Pattern Transformation Manifolds

Learning sparse representations of depth