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Machine Learning in Computational Science.
Proposed for presentation at the Artifi cial Intelligence for Earth System Predictability (AI4ESP) in ,, 2021openaire +1 more source
Revisiting the Machine Learning Algorithms and Applications in Engineering and Computer Science
2021Satyabrata Nath +2 more
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2019
In Machine Learning (generally devoted to big-data case), the predictive learning (or the supervised learning) approach consists in identifying/learning a random mapping F: w↦ q = F(w), in which the parameters vector w (input) is modelled by a random vector W with known probability distribution Pw(dw) and where the vector of quantities of interest q ...
Dangla, Vincent +5 more
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In Machine Learning (generally devoted to big-data case), the predictive learning (or the supervised learning) approach consists in identifying/learning a random mapping F: w↦ q = F(w), in which the parameters vector w (input) is modelled by a random vector W with known probability distribution Pw(dw) and where the vector of quantities of interest q ...
Dangla, Vincent +5 more
openaire +3 more sources
, 2023 Teaching Quantum Machine Learning in Computer Science
2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS), 2023Gennaro De Luca, Yinong Chen
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The Role of Machine Learning Algorithms in Materials Science: A State of Art Review on Industry 4.0
Archives of Computational Methods in Engineering, 2020Amitava Choudhury
semanticscholar +1 more source