Zobrazeno 1 - 10
of 499 668
pro vyhledávání: '"Fernandes AS"'
Developing a reinforcement learning (RL) agent often involves identifying effective values for a large number of parameters, covering the policy, reward function, environment, and the agent's internal architecture, such as parameters controlling how
Externí odkaz:
http://arxiv.org/abs/2410.19528
Solar flare forecasting mainly relies on photospheric magnetograms and associated physical features to predict forthcoming flares. However, it is believed that flare initiation mechanisms often originate in the chromosphere and the lower corona. In t
Externí odkaz:
http://arxiv.org/abs/2410.16116
The growing volume of academic publications poses significant challenges for researchers conducting timely and accurate Systematic Literature Reviews, particularly in fast-evolving fields like artificial intelligence. This growth of academic literatu
Externí odkaz:
http://arxiv.org/abs/2410.15978
Autor:
Rodari, Giovanni, Fernandes, Carlos, Caruccio, Eugenio, Suprano, Alessia, Hoch, Francesco, Giordani, Taira, Carvacho, Gonzalo, Albiero, Riccardo, Di Giano, Niki, Corrielli, Giacomo, Ceccarelli, Francesco, Osellame, Roberto, Brod, Daniel J., Novo, Leonardo, Spagnolo, Nicolò, Galvão, Ernesto F., Sciarrino, Fabio
Bosonic bunching is a term used to describe the well-known tendency of bosons to bunch together, and which differentiates their behaviour from that of fermions or classical particles. However, in some situations perfectly indistinguishable bosons may
Externí odkaz:
http://arxiv.org/abs/2410.15883
Autor:
de Jesus, Gleydson Fernandes, da Silva, Maria Heloísa Fraga, Pires, Otto Menegasso, da Silva, Lucas Cruz, Cruz, Clebson dos Santos, da Silva, Valéria Loureiro
Forecasting demand for assets and services can be addressed in various markets, providing a competitive advantage when the predictive models used demonstrate high accuracy. However, the training of machine learning models incurs high computational co
Externí odkaz:
http://arxiv.org/abs/2410.16331
Autor:
Fu, Xiaohan, Li, Shuheng, Wang, Zihan, Liu, Yihao, Gupta, Rajesh K., Berg-Kirkpatrick, Taylor, Fernandes, Earlence
Large Language Model (LLM) Agents are an emerging computing paradigm that blends generative machine learning with tools such as code interpreters, web browsing, email, and more generally, external resources. These agent-based systems represent an eme
Externí odkaz:
http://arxiv.org/abs/2410.14923
Autor:
Wei, Chao-Chun, Li, Xiaoyin, Hatt, Sabrina, Huai, Xudong, Liu, Jue, Singh, Birender, Kim, Kyung-Mo, Fernandes, Rafael M., Cardon, Paul, Zhao, Liuyan, Tran, Thao T., Frandsen, Benjamin M., Burch, Kenneth S., Liu, Feng, Ji, Huiwen
Altermagnets represent a new class of magnetic phases without net magnetization that are invariant under a combination of rotation and time reversal. Unlike conventional collinear antiferromagnets (AFM), altermagnets could lead to new correlated stat
Externí odkaz:
http://arxiv.org/abs/2410.14542
Assessing the Optimistic Bias in the Natural Inflow Forecasts: A Call for Model Monitoring in Brazil
Autor:
Brigatto, Arthur, Street, Alexandre, Fernandes, Cristiano, Valladao, Davi, Bodin, Guilherme, Garcia, Joaquim Dias
Hydroelectricity accounted for roughly 66% of the total generation in Brazil in 2023 and addressed most of the intermittency of wind and solar generation. Thus, one of the most important steps in the operation planning of this country is the forecast
Externí odkaz:
http://arxiv.org/abs/2410.13763
We prove that for every ${\gamma > 0}$ there exists $n_0 \in \mathbb{N}$ such that for every ${n \geq n_0}$ any family of up to $\lfloor{n^{\frac12+\gamma}}\rfloor$ trees having at most $(1-\gamma)n$ vertices in each bipartition class can be packed i
Externí odkaz:
http://arxiv.org/abs/2410.13290
Autor:
Fernandes, Tiago V., Lemos, José P. S.
We establish the connection between the Gibbons-Hawking Euclidean path integral approach applied to the canonical ensemble of a Reissner-Nordstr\"om black hole and the thermodynamic theory of black holes of Davies. We build the ensemble, characterize
Externí odkaz:
http://arxiv.org/abs/2410.12902