Zobrazeno 1 - 10
of 11 878
pro vyhledávání: '"A. Tsoi"'
Given an abelian variety $A$ over a global function field $K$ of characteristic $p>0$ and an irreducible complex continuous representation $\psi$ of the absolute Galois group of $K$, we obtain a BSD-type formula for the leading term of Hasse--Weil--A
Externí odkaz:
http://arxiv.org/abs/2411.12404
Autor:
Tsoi, Ho Fung, Rankin, Dylan, Caillol, Cecile, Cranmer, Miles, Dasu, Sridhara, Duarte, Javier, Harris, Philip, Lipeles, Elliot, Loncar, Vladimir
We introduce SymbolFit, a framework that automates parametric modeling by using symbolic regression to perform a machine-search for functions that fit the data, while simultaneously providing uncertainty estimates in a single run. Traditionally, cons
Externí odkaz:
http://arxiv.org/abs/2411.09851
Autor:
Tsoi, Etron Yee Chun
Windstorms significantly impact the UK, causing extensive damage to property, disrupting society, and potentially resulting in loss of life. Accurate modelling and understanding of such events are essential for effective risk assessment and mitigatio
Externí odkaz:
http://arxiv.org/abs/2409.10696
Autor:
Babu, Md. Majibul Haque, Tsoi, Maxim
We present an experimental study of the effects of driving current direction on ferromagnetic resonance in NiFe foils. The rf driving current was applied to NiFe foils of different shapes. In rectangular samples with a close-to-uniform flow of the ap
Externí odkaz:
http://arxiv.org/abs/2408.08743
Autor:
Babu, Md. Majibul Haque, Tsoi, Maxim
Publikováno v:
Low Temp. Phys. 50, 683 (2024)
We present an experimental study of the spin rectification effects produced by ferromagnetic resonance in a NiFe wire. A system of four independent nonmagnetic contact probes was used to supply both rf and dc currents to the wire and to measure dc vo
Externí odkaz:
http://arxiv.org/abs/2408.08737
Multiclass neural network classifiers are typically trained using cross-entropy loss. Following training, the performance of this same neural network is evaluated using an application-specific metric based on the multiclass confusion matrix, such as
Externí odkaz:
http://arxiv.org/abs/2405.20954
Tooth segmentation is a pivotal step in modern digital dentistry, essential for applications across orthodontic diagnosis and treatment planning. Despite its importance, this process is fraught with challenges due to the high noise and low contrast i
Externí odkaz:
http://arxiv.org/abs/2404.01065
Preference learning has long been studied in Human-Robot Interaction (HRI) in order to adapt robot behavior to specific user needs and desires. Typically, human preferences are modeled as a scalar function; however, such a formulation confounds criti
Externí odkaz:
http://arxiv.org/abs/2403.19795
Contrary to genetic programming, the neural network approach to symbolic regression can efficiently handle high-dimensional inputs and leverage gradient methods for faster equation searching. Common ways of constraining expression complexity often in
Externí odkaz:
http://arxiv.org/abs/2401.09949
Autor:
Zhang, Qiping, Tsoi, Nathan, Nagib, Mofeed, Choi, Booyeon, Tan, Jie, Chiang, Hao-Tien Lewis, Vázquez, Marynel
Human impressions of robot performance are often measured through surveys. As a more scalable and cost-effective alternative, we investigate the possibility of predicting people's impressions of robot behavior using non-verbal behavioral cues and mac
Externí odkaz:
http://arxiv.org/abs/2310.11590