We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
In this work informal learning theories and practices and social networking features are taken as starting points to build a reference collaboration model to support collaborative ...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
In this paper, an educational software aimed to help learning Information Theory basics in a practical way is reported. The software, called IT-tutor-UV, can produce entropy analy...
Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...