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pro vyhledávání: '"A Patelli"'
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 1, p 015010 (2024)
We uncover the connection between the Fitness-Complexity algorithm, developed in the economic complexity field, and the Sinkhorn–Knopp algorithm, widely used in diverse domains ranging from computer science and mathematics to economics. Despite min
Externí odkaz:
https://doaj.org/article/bbc8979dffb44de8949b30bbb686f004
Structural change consists of industrial diversification towards more productive, knowledge intensive activities. However, changes in the productive structure bear inherent links with job creation and income distribution. In this paper, we investigat
Externí odkaz:
http://arxiv.org/abs/2410.07906
Random Forest (RF) is a widely used machine learning algorithm known for its flexibility, user-friendliness, and high predictive performance across various domains. However, it is non-interpretable. This can limit its usefulness in applied sciences,
Externí odkaz:
http://arxiv.org/abs/2408.05537
Advances in Deep Learning bring further investigation into credibility and robustness, especially for safety-critical engineering applications such as the nuclear industry. The key challenges include the availability of data set (often scarce and spa
Externí odkaz:
http://arxiv.org/abs/2405.17862
Autor:
Caldarola, Bernardo, Mazzilli, Dario, Napolitano, Lorenzo, Patelli, Aurelio, Sbardella, Angelica
Economic Complexity (EC) methods have gained increasing popularity across fields and disciplines. In particular, the EC toolbox has proved particularly promising in the study of complex and interrelated phenomena, such as the transition towards a gre
Externí odkaz:
http://arxiv.org/abs/2308.07172
Identifying the rank of species in a social or ecological network is a difficult task, since the rank of each species is invariably determined by complex interactions stipulated with other species. Simply put, the rank of a species is a function of t
Externí odkaz:
http://arxiv.org/abs/2308.00986
Publikováno v:
2023 J. Phys. Complex. 4 045011
We revise the procedure proposed by Balassa to infer comparative advantage, which is a standard tool, in Economics, to analyze specialization (of countries, regions, etc.). Balassa's approach compares the export of a product for each country with wha
Externí odkaz:
http://arxiv.org/abs/2304.12245
Random Forest (RF) is a well-known data-driven algorithm applied in several fields thanks to its flexibility in modeling the relationship between the response variable and the predictors, also in case of strong non-linearities. In environmental appli
Externí odkaz:
http://arxiv.org/abs/2303.04693
Autor:
Miralles-Dolz, Enrique, Gray, Ander, Patelli, Edoardo, Ferson, Scott, Kreinovich, Vladik, Kosheleva, Olga
In many practical situations, we know the probabilities $a$ and $b$ of two events $A$ and $B$, and we want to estimate the joint probability ${\rm Prob}(A\,\&\,B)$. The algorithm that estimates the joint probability based on the known values $a$ and
Externí odkaz:
http://arxiv.org/abs/2301.05507
We uncover the connection between the Fitness-Complexity algorithm, developed in the economic complexity field, and the Sinkhorn-Knopp algorithm, widely used in diverse domains ranging from computer science and mathematics to economics. Despite minor
Externí odkaz:
http://arxiv.org/abs/2212.12356