1,355,712 research outputs found
Spazi Sospesi 2. Artisti a confronto con l’opera di Cecilia Ravera Oneto
Il volume, catalogo della mostra omonima, analizza l'opera grafica e pittorica di Cecilia Ravera Oneto (1918-2002), artista ligure formatasi all'Accademia Albertina di Belle Arti di Torino, la cui opera è principalmente dedicata all'ambiente industriale ligure-piemontese. Completano il catalogo le opere dei 12 artisti internazionali chiamati a confrontarsi con la produzione della Ravera Oneto ai quali sono dedicate altrettante schede critiche
Cecilia Ravera Oneto. L’opera grafica e l’ambiente industriale
L’opera grafica di Cecilia Ravera Oneto, artista ligure formatasi all'Accademia Albertina di Torino, che ha dedicato la sua opera all’ambiente industriale ligure-piemontese
Computationally aware estimation of ultimate strength reduction of stiffened panels caused by welding residual stress : from finite element to data-driven methods
Ultimate limit state (ULS) assessment examines the maximum load-carrying capacity of structures considering inelastic buckling failure. Contrary to the traditional allowable stress principle which is mainly based on experiences, the ULS assessment focuses on explicitly evaluating the structural safety margin and thus enables a consistent level of safety/risk between conventional and novel structural designs. Modern structures are usually designed as a network of plates and stiffeners (e.g., ship structures, offshore and onshore wind turbine, and land-based bridge) joined by welding which induces a residual stress field. Hence, predicting the ultimate strength reduction of stiffened panels caused by welding residual stress is a crucial problem addressed by many scholars with different approaches, among which the Nonlinear Finite Element Method (NLFEM) is the prevailing approach within the community of structural engineering. Unfortunately, the NLFEM has a high computational requirement which prevents its use in the design, appraisal, and optimisation phases of stiffened panels. To well approximate the nonlinear finite element method, a data-driven method is proposed in this paper, with a functional which is computationally expensive to build but computationally inexpensive to use allowing its application at design stage. Results obtained in different (i.e., interpolation and extrapolation) scenarios using data generated by a state-of-the-art NLFEM on a series of stiffened panels will support the proposed method
[Francesco Oneto (1882), funerary sculpture]
From Berresford: Francesco Oneto (1882), Giulio Monteverde , Cimitero di Staglieno, Genoa.Head shoulders and tops of wings of angel with folded arms. Detail of plate 437, p.208.Title from Berresford
Complexity-Based Methods
The idea behind the complexity-based methods is that if an algorithm chooses from a small set of rules it will probably generalize. Basically, if we have a small set of rules and one of them has small empirical error, the risk of overfitting the data is small since the probability that this event has happened by chance is small. Vice versa if we have a large set of rules and one of them has small empirical error the risk that this event has happened for chance is high
On the quantum periods of del Pezzo surfaces with ⅓ (1, 1) singularities
AbstractIn earlier joint work with collaborators we gave a conjectural classification of a broad class of orbifold del Pezzo surfaces, using Mirror Symmetry. We proposed that del Pezzo surfacesXwith isolated cyclic quotient singularities such thatXadmits a ℚ-Gorenstein toric degeneration correspond via Mirror Symmetry to maximally mutable Laurent polynomialsfin two variables, and that the quantum period of such a surfaceX, which is a generating function for Gromov–Witten invariants ofX, coincides with the classical period of its mirror partnerf.In this paper we give strong evidence for this conjecture. Contingent on conjectural generalisations of the Quantum Lefschetz theorem and the Abelian/non-Abelian correspondence, we compute many quantum periods for del Pezzo surfaces with13(1, 1) singularities. Our computations also give strong evidence for the extension of these two principles to the orbifold setting.</jats:p
Introduction
How can we select the best performing data-driven model and quantify its generalization error? This question has received a solid answer from the field of statistical inference since the last century and before [1, 2]
Eduardo Tofano, Ritratto di Teresa Maglione Oneto, tecnica mista
Scheda scientifica del dipinto del pittore napoletano Edoardo Tofano, di grande rilievo all'interno della sua produzione, perché dedicata a Teresa Maglione Oneto, celebre esponente del mecenatismo e del collezionismo della Napoli della seconda metà del secolo XIX
Preliminaries
In this section we will give an overview of the problem of learning based on empirical data. In particular we will first generally discuss about the inference problems with particular reference to the inductive case and the statistical tools exploited to assess the performance of the induction process
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