Zobrazeno 1 - 10
of 9 734
pro vyhledávání: '"Bée, A."'
The aim of this article is to study the regularity properties of the Wilton functions $W_\alpha$ associated with $\alpha$-continued fractions. We prove that the Wilton function is BMO for $\alpha\in[1-g,g]$ (where $g:=\frac{\sqrt{5}-1}{2}$ denotes th
Externí odkaz:
http://arxiv.org/abs/2409.20401
Nowadays, Information spreads at an unprecedented pace in social media and discerning truth from misinformation and fake news has become an acute societal challenge. Machine learning (ML) models have been employed to identify fake news but are far fr
Externí odkaz:
http://arxiv.org/abs/2405.04165
Active travel is an essential component in intelligent transportation systems. Cycling, as a form of active travel, shares the road space with motorised traffic which often affects the cyclists' safety and comfort and therefore peoples' propensity to
Externí odkaz:
http://arxiv.org/abs/2404.10528
For a given irrational number, we consider the properties of best rational approximations of given parities. There are three different kinds of rational numbers according to the parity of the numerator and denominator, say odd/odd, even/odd and odd/e
Externí odkaz:
http://arxiv.org/abs/2403.12341
This study investigates the linguistic traits of fake news and real news. There are two parts to this study: text data and speech data. The text data for this study consisted of 6420 COVID-19 related tweets re-filtered from Patwa et al. (2021). After
Externí odkaz:
http://arxiv.org/abs/2310.04237
Multi-task neural networks learn tasks simultaneously to improve individual task performance. There are three mechanisms of multi-task learning (MTL) which are explored here for the context of structural health monitoring (SHM): (i) the natural occur
Externí odkaz:
http://arxiv.org/abs/2305.09425
Autor:
Bee, S. C., Papatheou, E., Haywood-Alexander, M, Mills, R. S., Bull, L. A., Worden, K., Dervilis, N.
There have been recent efforts to move to population-based structural health monitoring (PBSHM) systems. One area of PBSHM which has been recognised for potential development is the use of multi-task learning (MTL); algorithms which differ from tradi
Externí odkaz:
http://arxiv.org/abs/2303.04486
Autor:
Nambiar, Milashini, Ghosh, Supriyo, Ong, Priscilla, Chan, Yu En, Bee, Yong Mong, Krishnaswamy, Pavitra
There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications. Reinforcement learning methods are well-suited to this sequential decision-making
Externí odkaz:
http://arxiv.org/abs/2302.07549
Autor:
Bee, Marco
Mixture distributions with dynamic weights are an efficient way of modeling loss data characterized by heavy tails. However, maximum likelihood estimation of this family of models is difficult, mostly because of the need to evaluate numerically an in
Externí odkaz:
http://arxiv.org/abs/2211.05847
Autor:
Bee-Lindgren, Max, Qian, Zhengrong, DeCross, Matthew, Brown, Natalie C., Gilbreth, Christopher N., Watkins, Jacob, Zhang, Xilin, Lee, Dean
We introduce a new scheme for quantum circuit design called controlled gate networks. Rather than trying to reduce the complexity of individual unitary operations, the new strategy is to toggle between all of the unitary operations needed with the fe
Externí odkaz:
http://arxiv.org/abs/2208.13557