Uniform sampling from graphical realizations of a given degree sequence is a fundamental component in simulation-based measurements of network observables, with applications rangi...
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Abstract. For a first-order formula ϕ(x; y) we introduce and study the characteristic sequence Pn : n < ω of hypergraphs defined by Pn(y1, . . . , yn) := (∃x) i≤n ϕ(x; ...
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...