Requirements for educational software could be based on an analysis of existing learning situations. In order to obtain useful information about teaching practices, an explorative ...
Luca Tateo, Giuseppina Marsico, Maria Annarumma, G...
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Situated learning is known to be an effective didactic approach, yet, multimedia systems with built-in support for it are uncommon. We analyze the domain-independent requirements ...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...