Introduction to the special issue on learning semantics
From machine learning to machine reasoning
Learning perceptually grounded word meanings from unaligned parallel data
Interactive relational reinforcement learning of concept semantics
Learning from natural instructions
A semantic matching energy function for learning with multi-relational data
Learning what is where from unlabeled images: joint localization and clustering of foreground objects
Learning semantic representations of objects and their parts
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012)
Plane-based object categorisation using relational learning
Meta-interpretive learning: application to grammatical inference
Learning from interpretation transition
Fast relational learning using bottom clause propositionalization with artificial neural networks
Modelling relational statistics with Bayes Nets
Learning with tensors: a framework based on convex optimization and spectral regularization
Discriminative extended canonical correlation analysis for pattern set matching
Hierarchical constraints
Bounds on the sample complexity for private learning and private data release