Abstract. This contribution introduces the so-called Workplace Learning Context as essential conceptualisation supporting self-directed learning experiences directly at the workpla...
Armin Ulbrich, Peter Scheir, Stefanie N. Lindstaed...
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
In recent years the re-use of already existing solutions and ideas has become more and more crucial. Re-inventing the wheel over and over again is not feasible. Especially model b...
Daniel Sinnig, Ashraf Gaffar, Ahmed Seffah, Peter ...
In powerful learning environments, rich contexts and authentic tasks are presented to pupils. Active, autonomous and co-operative learning is stimulated, and the curriculum is ada...