Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
This paper describes a compositional approach to generate the labeled transition system representing the behavior of a Lotos program by repeatedly alternating composition and reduc...
In this paper we propose a behavioural model, namely the Generalized Extended Modal Transition Systems, as a basis for the formalization of different notions of variability usuall...