We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
This paper presents efficient methods to address the problem of discriminating between five facial orientations. We present the most efficient methods for this task to date, which...
This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
We use a strong form of the tree model property to boost the performance of resolution-based first-order theorem provers on the so-called relational translations of modal formulas...
Carlos Areces, Rosella Gennari, Juan Heguiabehere,...
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...