Listar GI-IRlab-Artigos por título

Mostrando ítems 24-26 de 26

    • Syntactic ASP forgetting with forks 

      Aguado, Felicidad; Cabalar, Pedro; Fandiño, Jorge; Pearce, David; Pérez, Gilberto; Vidal, Concepción (Elsevier, 2024-01)
      [Abstract]: Answer Set Programming (ASP) constitutes nowadays one of the most successful paradigms for practical Knowledge Representation and declarative problem solving. The formal analysis of ASP programs is essential ...

    • Using score distributions to compare statistical significance tests for information retrieval evaluation 

      Parapar, Javier; Losada, David E.; Presedo-Quindimil, Manuel-Antonio; Barreiro, Álvaro (Willey, 2019-01-11)
      [Abstract] Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies have examined the validity and ...

    • Variable selection in the prediction of business failure using genetic programming 

      Beade, José; Rodríguez Seijo, José Manuel; Santos Reyes, José (Elsevier B.V., 2024-04-08)
      This study focuses on dimensionality reduction by variable selection in business failure prediction models. A new method of dimensionality reduction by variable selection using Genetic Programming is proposed, which takes ...