The G1:1 international network of learning researchers met to identify major trends and uncertainties that could drive the evolution of learning technology. Using a technique call...
Jeremy Roschelle, Charles Patton, John Brecht, Mar...
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
This paper describes the design and implementation of the distributed digital rights management (DDRM) system as undertaken by the eduSource project, a national network of learnin...
Stephen Downes, Gilbert Babin, Luc Belliveau, Raph...