Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Andrea Ponti"'
Publikováno v:
Mathematics, Vol 12, Iss 6, p 929 (2024)
Prompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary. Consequently, the aim is to select the optimal prompt conc
Externí odkaz:
https://doaj.org/article/d00fb6815b3c4831bf4fdc5de50134e9
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4347 (2023)
Many real-life systems are usually controlled through policies replicating experts’ knowledge, typically favouring “safety” at the expense of optimality. Indeed, these control policies are usually aimed at avoiding a system’s disruptions or d
Externí odkaz:
https://doaj.org/article/4be0a83a5c5f40b2b6d64e567a63a159
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-17 (2021)
Abstract The issue of vulnerability and robustness in networks have been addressed by several methods. The goal is to identify which are the critical components (i.e., nodes/edges) whose failure impairs the functioning of the network and how much thi
Externí odkaz:
https://doaj.org/article/0624aab77ea543df96c56221f778fb8d
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2342 (2023)
This manuscript explores the problem of deploying sensors in networks to detect intrusions as effectively as possible. In water distribution networks, intrusions can cause a spread of contaminants over the whole network; we are searching for location
Externí odkaz:
https://doaj.org/article/0bcc6a02ba1947dea2fc55ddeda020ba
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 155 (2022)
Human as well as algorithmic searches are performed to balance exploration and exploitation. The search task in this paper is the global optimization of a 2D multimodal function, unknown to the searcher. Thus, the task presents the following features
Externí odkaz:
https://doaj.org/article/e42d86a02f5c4794bbd0bae3e7c91557
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 138 (2022)
Large retail companies routinely gather huge amounts of customer data, which are to be analyzed at a low granularity. To enable this analysis, several Key Performance Indicators (KPIs), acquired for each customer through different channels are associ
Externí odkaz:
https://doaj.org/article/0930b037c35f417fa4faac4a189c1dc1
Publikováno v:
Intelligent Systems with Applications, Vol 10, Iss , Pp 200047- (2021)
In this paper we propose a new algorithm for the identification of optimal “sensing spots”, within a network, for monitoring the spread of “effects” triggered by “events”. This problem is referred to as “Optimal Sensor Placement” and
Externí odkaz:
https://doaj.org/article/df8c81974e3343baa2150b73eb01a500
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 91:217-238
The key contribution of this paper is a theoretical framework to analyse humans’ decision-making strategies under uncertainty, and more specifically how human subjects manage the trade-off between information gathering (exploration) and reward seek
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Bayesian optimization (BO) based on the Gaussian process model (GP-BO) has become the most used approach for the global optimization of black-box functions and computationally expensive optimization problems. BO has proved its sample efficiency and i
Autor:
Grazia Di Bello, Andrea Ponticelli, Fabrizio Pavan, Vittorio Cataudella, Giulio De Filippis, Antonio de Candia, Carmine Antonio Perroni
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Quantum states beyond thermodynamic equilibrium represent fascinating and cutting-edge research. However, the behavior of dynamical quantum phase transitions in complex open quantum systems remains poorly understood. Here, using state-of-the
Externí odkaz:
https://doaj.org/article/203de9f80d3b4dd0a9e28b72753cf203