123,347 research outputs found
Il CDI (Children's Depression Inventory) di M. Kovac. Questionario di autovalutazione. Adattamento italiano. Manuale
No full textLa versione italiana realizzata da R. Mayer, M. Camuffo, R. Cerutti, L. Lucarelli ed i risultati delle loro ricerche evidenziano l'utilità e la possibilità di uso del CDI in Italia. Lo strumento può anche facilitare studi transculturali relativi ai sintomi depressivi tra i giovani, dal momento che è stato già tradotto ed utilizzato in diverse versioni (ungherese, francese, tedesca, spagnola, ecc.) . L'uso dello strumento non solo permette di identificare precocemente casi ma facilita la ricerca sulla depressione ad insorgenza precoce
Uniqueness for second-order parabolic equations with discontinuous coefficients
No full textThe authors show the uniqueness of the ``good solution'' to the Cauchy-Dirichlet problem for linear non-variational parabolic equations with the coefficients of the principal part with discontinuities, in cases in which in general uniqueness of strong solutions in Sobolev spaces does not hold. The notion of the ``good solution'' to the elliptic equations was introduced by the first author in [M. C. Cerutti, L. Escauriaza and E. B. Fabes, Ann. Mat. Pura Appl. (4) 163 (1993), 161--18
L. Allegra, La citta' verticale. Usurai, mercanti e tessitori nella Chieri del Cinquecento
No full textCerutti Simona. L. Allegra, La citta' verticale. Usurai, mercanti e tessitori nella Chieri del Cinquecento. In: Annales. Économies, Sociétés, Civilisations. 46ᵉ année, N. 3, 1991. pp. 683-685
La vie authentique. Une lecture de de l'"Initiation à la vie bienheureuse" de Fichte
No full textEn se plaçant sous l'égide de la doctrine johannique du Logos Fichte entreprend dans l'"Initiation à la vie bienheureuse" d'articuler de manière inédite savoir et actio
Assessing the Robustness of Intelligence-Driven Reinforcement Learning
No full textRobustness to noise is of utmost importance in reinforcement learning systems, particularly in military contexts where high stakes and uncertain environments prevail. Noise and uncertainty are inherent features of military operations, arising from factors such as incomplete information, adversarial actions, or unpredictable battlefield conditions. In RL, noise can critically impact decision-making, mission success, and the safety of personnel. Reward machines offer a powerful tool to express complex reward structures in RL tasks, enabling the design of tailored reinforcement signals that align with mission objectives. This paper considers the problem of the robustness of intelligence-driven reinforcement learning based on reward machines. The preliminary results presented suggest the need for further research in evidential reasoning and learning to harden current state-of-the-art reinforcement learning approaches prior to being mission-critical-ready
Lega fra i "consules et capitanei partis extrinsece Placentie" e i marchesi Malaspina di Val Trebbia: 10 ottobre 1266
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