—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas ...
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
This paper aims to propose solutions to the issue of ontology visualization, by presenting intuitive and userfriendly ontology editing and visualization environments mainly orient...
Nadia Catenazzi, Lorenzo Sommaruga, Riccardo Mazza
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Current interactions on direct-touch interactive surfaces are often modeled based on properties of the input channel that are common in traditional graphical user interfaces (GUI)...