Machine learning methods exploit similarities in users’ activity patterns to provide recommendations applications across a wide range of fields including entertainment, dating, and commerce. However, domains that demand protection personally sensitive data, such as medicine or banking, how can we learn recommendation models without accessing the data inadvertently leaking private information? M...

As it emerged from philosophical analyses and cognitive research, most concepts exhibit typicality effects, and resist to the efforts of defining them in terms of necessary and sufficient conditions. This holds also in the case of many medical concepts. This is a problem for the design of computer science ontologies, since knowledge representation formalisms commonly adopted in this field (such...

Next, we transform using the multinomial2logical function the multinomial predictors into dummy predictor variables , which are simply true or false for each categorical value of the selected multinomial variables. The think data frame has three extralinguistic variables that we have decided to exclude from the following statistical modeling, namely Register, Section, and Author (which are colu...