Results 61 to 70 of about 6,391,262 (321)

Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression

Energies, 2022
In this study, the crude oil spot price is forecast using Bayesian symbolic regression (BSR). In particular, the initial parameters specification of BSR is analysed.
Krzysztof Drachal
doaj   +1 more source

SPG4 and Dementia: Expanding the Clinical Spectrum

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza, Arun Meyyazhagan, Eliseo Picchi, Gustavo Ribas, Ingrid Faber, Ryosuke Miyamoto, Preethi Basavaraju, Paolo Eusebi, Haripriya Kuchi Bhotla, Mario Stasi, Fabrizio Gaudiello, Francesco Patti, Filippo Maria Santorelli, Marcondes Cavalcante França Jr, José Luiz Pedroso, Orlando Graziani Povoas Barsottini, Hélio Afonso Ghizoni Teive, Peter Henry St George‐Hyslop, Toshitaka Kawarai, Antonio Orlacchio   +19 more
wiley   +1 more source

Introduction to Symbolic Regression in the Physical Sciences [PDF]

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Symbolic regression (SR) has emerged as a powerful method for uncovering interpretable mathematical relationships from data, offering a novel route to both scientific discovery and efficient empirical modelling.
D. Bartlett, H. Desmond, Pedro G. Ferreira, G. Kronberger   +3 more
semanticscholar   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

The Application of Symbolic Regression on Identifying Implied Volatility Surface

Mathematics, 2023
One important parameter in the Black–Scholes option pricing model is the implied volatility. Implied volatility surface (IVS) is an important concept in finance that describes the variation of implied volatility across option strike price and time to ...
Jiayi Luo, Cindy Long Yu
doaj   +1 more source

Symbolic computation for evaluation of measurement uncertainty [PDF]

, 2007
In recent years, with the rapid development of symbolic computation, the integration of symbolic and numeric methods is increasingly applied in various applications.
Wei, P, Jones, BE, Mohd Rizal Salleh, Peng Wei, Barry Jones, Qing Ping Yang, Yang, QP, Salleh, MR   +7 more
core   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Reinforcement Learning-Based Symbolic Regression for Load Modeling

IEEE Open Access Journal of Power and Energy
With the growing demand variability and evolving grid control strategies, accurate and efficient load modeling has become a critical yet challenging task.
Ding Lin, Han GUO, Jianhui Wang, Meng Yue, Tianqiao Zhao   +4 more
doaj   +1 more source

Symbolic regression settings.

, 2014
Symbolic regression settings.
Jan Broeckhove (553513), Philippe Beutels (43663), Sean Stijven (553511), Niel Hens (43661), Lander Willem (119855), Ekaterina Vladislavleva (553512)   +5 more
core   +1 more source

Paramagnetic Rim Lesions and Choroid Plexus Volume at Diagnosis Are Associated With Cognitive Progression Independent of Relapse and MRI Activity in Early Relapsing–Remitting Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement reflect smoldering inflammation in multiple sclerosis. Their role in cognitive progression remains unexplored. Eighty‐seven early relapsing–remitting MS patients were enrolled at diagnosis and followed longitudinally.
Stefano Ziccardi, Damiano Marastoni, Agnese Tamanti, Pietro Biasi, Valentina Visani, Annalisa Colombi, Tom A. Fuchs, Monica Sicchieri, Chiara Eccher, Francesco Guarnaccia, Milena Calderone, Valentina Camera, Francesca Benedetta Pizzini, Roberta Magliozzi, Marco Castellaro, Massimiliano Calabrese   +15 more
wiley   +1 more source