Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Abstract. A fundamental problem in computational biology is the determination of the correct species tree for a set of taxa given a set of possibly contradictory gene trees. In rec...
Michael R. Fellows, Michael T. Hallett, Ulrike Ste...
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
— Most of the currently deployed multicast protocols (e.g. DVMRP, PIM, MOSPF) build one shortest path multicast tree per sender, the tree being rooted at the sender’s subnetwor...
In the effort to understand the algorithmic limitations of computing by a swarm of robots, the research has focused on the minimal capabilities that allow a problem to be solved. ...
Paola Flocchini, David Ilcinkas, Andrzej Pelc, Nic...