Results 51 to 60 of about 2,854,398 (286)

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

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source

The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems [PDF]

, 2015
This paper investigates the impact of geometric semantic crossover operators in a wide range of symbolic regression problems. First, it analyses the impact of using Manhattan and Euclidean distance geometric semantic crossovers in the learning process ...
Albinati, Julio, Otero, Fernando E.B., Julio Albinati, Luiz Otávio V. B. Oliveira, Gisele L. Pappa, Pappa, Gisele L., Oliveira, Luiz Otávio V.B., Fernando E. B. Otero   +7 more
core   +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 on FPGAs for Fast Machine Learning Inference [PDF]

EPJ Web of Conferences
The high-energy physics community is investigating the potential of deploying machine-learning-based solutions on Field-Programmable Gate Arrays (FPGAs) to enhance physics sensitivity while still meeting data processing time constraints.
Tsoi Ho Fung, Pol Adrian Alan, Loncar Vladimir, Govorkova Ekaterina, Cranmer Miles, Dasu Sridhara, Elmer Peter, Harris Philip, Ojalvo Isobel, Pierini Maurizio   +9 more
doaj   +1 more source

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab, Evelyn Alvarez, Roua Hamdi, Bingqing Zhang, Hayeun Ji, Niyati Jhaveri, Patrick Schindler, Pedro Sanchez, Pia S. Sperber, Tanja Schmitz‐Hübsch, Frederike C. Oertel, Nisa Vorasoot, Najib Kissani, Falko Böhringer, Jens Kuhle, Anne‐Katrin Pröbstel, Xiao‐Jun Ma, Péter Körtvelyessy, Patrick Waters, Friedemann Paul   +19 more
wiley   +1 more source

Symbolic Interval-Valued Regression Model

Journal of Statistical Theory and Applications (JSTA)
Symbolic data analysis can provide statistical inferences for macroscale data while preserving as much information as possible from microscale data. In this study, we focus on the symbolic interval-valued regression model.
Liang-Ching Lin
doaj   +1 more source

Universal Approach to Solution of Optimization Problems by Symbolic Regression

Applied Sciences, 2021
Optimization problems and their solution by symbolic regression methods are considered. The search is performed on non-Euclidean space. In such spaces it is impossible to determine a distance between two potential solutions and, therefore, algorithms ...
Elena Sofronova, Askhat Diveev
doaj   +1 more source

White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram, Guangwei Du, Sangam Kanekar, Nandakumar Nagaraja   +3 more
wiley   +1 more source

SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture

IEEE Access
Many real-world systems can be naturally described by mathematical formulas. The task of automatically constructing formulas to fit observed data is called symbolic regression.
Martin Vastl, Jonas Kulhanek, Jiri Kubalik, Erik Derner, Robert Babuska   +4 more
doaj   +1 more source