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Delineating Soybean Mega-Environments Across State Lines: A Statistical Learning Approach to Multi-State Official Variety Trial Analysis.

• Authors : Mirahki, Isaac¹ (AUTHOR); Bond, Richard² (AUTHOR); Heiniger, Ryan³ (AUTHOR)

• Source: Agronomy. Feb2026, Vol. 16 Issue 3, p376. 32p.

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Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation.

• Authors : Ajnakina, Olesya^1,2 (AUTHOR) ; Agbedjro, Deborah² (AUTHOR); McCammon, Ryan³ (AUTHOR)

• Source: BMC Medical Research Methodology. 1/6/2021, Vol. 21 Issue 1, p1-11. 11p.

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Convergence acceleration of a nonlinear solver using statistical learning

• Authors : Vallot, Rémy; Dairay, Thibault; de Vuyst, Florian ...

Subjects: [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO]Computer Science [cs]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]Illinois; United States

• Source: Application of Digital Twins to Large-Scale Complex Systems ; https://hal.science/hal-05449018 ; Application of Digital Twins to Large-Scale Complex Systems, Dec 2025, Illinois,

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Tracking SARS-CoV-2 Spike Protein Mutations in the United States (January 2020—March 2021) Using a Statistical Learning Strategy.

• Authors : Zhao, Lue Ping¹ (AUTHOR) ; Lybrand, Terry P.^2,3 (AUTHOR) ; Gilbert, Peter B.⁴ (AUTHOR)

• Source: Viruses (1999-4915). Jan2022, Vol. 14 Issue 1, p9-9. 1p.

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Statistical learning multiobjective optimization for large-scale achromatic metalens at visible regime

• Authors : Elsawy, Mahmoud, M R; Binois, Mickael; Duvigneau, Régis ...

Subjects: [PHYS]Physics [physics]San Jose; United StatesSan Jose, California (web conference format), United States

• Source: CLEO, Laser Science to Photonic Applications ; https://unilim.hal.science/hal-03357023 ; CLEO, Laser Science to Photonic Applications, May 2021, San Jose, California (web conference format),

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Statistical Learning of Second-Order Transitional Probabilities in Humans

• Authors : Lazartigues, Laura; Mathy, Fabien; Lavigne, Frédéric ...

Subjects: [SCCO.PSYC]Cognitive science/PsychologyVirtuel; United States

• Source: 62nd Virtual annual meeting of the Psychonomic Societyhttps://hal.science/hal-0350945762nd Virtual annual meeting of the Psychonomic Society, Nov 2021, Virtuel,

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Computational Modeling of Statistical Learning: Effects of Transitional Probability Versus Frequency and Links to Word Learning.

• Authors : Mirman, Daniel¹; Graf Estes, Katharine²; Magnuson, James S.³

• Source: Infancy. Sep/Oct2010, Vol. 15 Issue 5, p471-486. 16p. 2 Diagrams, 3 Graphs.

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Statistical learning as a new approach for optical turbulence forecasting

• Authors : Giordano, Christophe; Rafalimanana, Alohotsy; Ziad, Aziz ...

Subjects: [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Online Only; United States

• Source: Proceedings of SPIE ; SPIE Astronomical Telescopes + Instrumentation ; https://hal.science/hal-03122685 ; SPIE Astronomical Telescopes + Instrumentation, Dec 2020, Online Only,

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Learning to Reconstruct: Statistical Learning Theory and Encrypted Database Attacks

• Authors : Grubbs, Paul; Lacharité, Marie-Sarah; Minaud, Brice ...

Subjects: [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]San Francisco; United States

• Source: IEEE Symposium on Security and Privacy (S&P) 2019 ; https://hal.inria.fr/hal-01974962 ; IEEE Symposium on Security and Privacy (S&P) 2019, May 2019, San Francisco, United

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Safely Learning Controlled Stochastic Dynamics

• Authors : Brogat-Motte, Luc; Rudi, Alessandro; Bonalli, Riccardo ...

Subjects: controlled stochastic dynamical systems; statistical learning theory; kernel methodsSan diego (Californie); United States

• Source: NeurIPS 2025 – Thirty-ninth Conference on Neural Information Processing Systems ; https://centralesupelec.hal.science/hal-05384140 ; NeurIPS 2025 – Thirty-ninth Conference on Neural Information

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