In this paper, we explore the differences between the Adaptive Hypermedia and IMS Simple Sequencing approaches. Both approaches provide learning material tailored for the learnerâ...
A new algorithm for on-line learning linear-threshold functions is proposed which efï¬ciently combines second-order statistics about the data with the â€logarithmic behavior†...
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
The Support Vector Machine (SVM) is an interesting classiï¬er with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...