Esther Forte Chemical Engineering, Imperial College London, London SW7 2AZ, UK. Felix Llovell Institut de Ciència de Materials de Barcelona, Consejo Superior de Investigaciones Cient́ıficas (ICMAB-CSIC), Campus de la UAB, 08193 Bellaterra, Barcelona, Spain Lourdes F. Vega Institut de Ciència de Materials de Barcelona, Consejo Superior de Investigaciones Cient́ıficas (ICMAB-CSIC), Campus de la UAB...

First-order learning systems (e.g., FOlL, FOCL, FORTE) generally rely on hill-climbing heuristics in order to avoid the combinatorial explosion inherent in learning first-order concepts. However, hill-climbing leaves these systems vulnerable to local maxima and local plateaus. We present a method, called relational pathfinding, which has proven highly effective in escaping local maxima and cros...

M. Ubiali, R. D. Ball, L. Del Debbio, S. Forte, A. Guffanti, J. I. Latorre, A. Piccione, J. Rojo (NNPDF collaboration) 1 Department of Physics, University of Edinburgh, Edinburgh, UK 2 Dipartimento di Fisica, Università di Milano and INFN, Sezione di Milano, Milano, Italy 3 Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany 4 Departament d’Estructura i Constituents ...

First-order learning systems (e.g., FOIL, FOCL, FORTE) generally rely on hill-climbing heuristics in order to avoid the combinatorial explosion inherent in learning first-order concepts. However, hill-climbing leaves these systems vulnerable to local maxima and local plateaus. We present a method, called relational pathfinding, which has proven highly effective in escaping local maxima and cros...

succès rencontrés très rapidement en résolution deprobì emes combinatoires, y compris dans desprobì emes clas-siques de recherche opérationnelle comme en ordonnancement par exemple, ont induit une forte vitalité industrielle et académique dans ce domaine. Les enjeux sont aujourd'hui d'aller vers une plus grande automatisation, qui n'at-teint pas encore celle des outils de programmation linéaire...

Valentina Di Felice*, Rosario Barone, Giorgia Nardone and Giancarlo Forte* 1 Department of Experimental Biomedicine and Clinical Neurosciences, University of Palermo, Palermo, Italy 2 Department of Stress Biology, Epigenetics and Biomarkers, Euro-Mediterranean Institute of Science and Technology (IEMEST), Palermo, Italy 3 Integrated Center for Cell Therapy and Regenerative Medicine (ICCT), Inte...

Abstract. FORTE 2.0 is an intermediate-resolution coupled atmosphere–ocean general circulation model (AOGCM) consisting of the Intermediate General Circulation Model 4 (IGCM4), a T42 spectral atmosphere with 35σ layers, to Modular Ocean – Array (MOMA), 2∘ × ocean 15 z-layer depth levels. Sea ice represented by simple flux barrier. Both and components are coded in Fortran. It capable producing s...