A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing

In Workshop on Recommendation in Multi- stakeholder Environments (RMSE’19), in conjunction with the 13th ACM Conference on Recommender Systems,

In summary, the absence of lipomatous, sclerosing or ®brous features in this lesion is inconsistent with a diagnosis of lipo- sclerosing myxo®brous tumour as described by Ragsdale

This problem has in particular been studied in the theory of empirical process (providing asymptotic results), and through statistical learning theory ([KOL 61],[VAP 71]). The

When the user is the message, the journalism industry -as professional storytellers- must find its place inside this user-centered model, to solve some issues related mainly

Here, one is usually buying-in external resources to work under in-house management, where the activity that is being bought has not previ- ously been developed or owned by the

Left: the estimated solutions of equation (14), with piecewise constant parameter c in the case of estimated output’s

The results suggested that the importance of surface cur- rents for analysing fishing activity from VMS data might de- pend upon the fishing gear, with a much higher impact on

I shall describe three configurations of uncertainty, each associated with its own field of opportunities and frames of reference, which, at different historical moments,