Beyond social learning

Such observations are consistent with the predictions made by our hypothesis: namely that the early dynamics of stochastic gradient descent, the dynamics in- duced by

When choosing the number of units per layer, the learning rate and the number of training iterations to optimize classification error on the validation set, unsupervised

Working on data extracted from a 10-week distance-learning experiment, we computed cohesion in several ways in order to highlight isolated people, active sub-groups and various roles

functions reuches the extreme bound of 9 possible simplification.. function belongs to

After elementarily studying the above mentioned class of Heegner points, upon imposing certain conditions (see Theorem 2.3 and Proposition 2.4), given a complex elliptic curve E,

To obtain the original data, as a first step it was decided to write software that allows access to the social network through special API and obtain the necessary data from it,

In what follows, we argue that the time has come, both technologically and politi- cally, to push forward with innovative approaches to assessment that use technologies like ITSs,

Founded by a partnership between the Open University in the UK, the BBC, The British Library and (originally) 12 universities in the UK, FutureLearn has two distinc- tive