We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Data manipulation, or algorithmic complexity, is not taken into account adequately in any of the most popular functional size measurement methods. In this paper, we recall some we...
Prolog's ability to return multiple answers on backtracking provides an elegant mechanism to derive reversible encodings of combinatorial objects as Natural Numbers i.e. ranki...
Physical Unclonable Functions (PUFs) are physical objects that are unique, practically unclonable and that behave like a random function when subjected to a challenge. Their use h...
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...