Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics
<p dir="ltr">The application of atificial intelligence (AI) in fundamental physics has faced limitations due to its inherently uninterpretable nature, which is less conducive to solving physical problems where natural phenomena are expressed in human-understandable language, i.e. mat...
محفوظ في:
| المؤلف الرئيسي: | Nour Makke (19160749) (author) |
|---|---|
| مؤلفون آخرون: | Sanjay Chawla (4254202) (author) |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Interpretable scientific discovery with symbolic regression: a review
حسب: Nour Makke (19160749)
منشور في: (2024) -
Commuting Toeplitz Operators With Mixed Quasihomogeneous and Analytic Symbols
حسب: Bouhali, Aissa
منشور في: (2026) -
The symbolic meaning of artifacts for the workplace identity of women in academia
حسب: Kemp, Linzi
منشور في: (2008) -
Drug Discovery against Acanthamoeba Infections: Present Knowledge and Unmet Needs
حسب: Elsheikha, Hany M.
منشور في: (2020) -
Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials
حسب: Abdul Wahab Ziaullah (16027076)
منشور في: (2023)