Zobrazeno 1 - 10
of 39 585
pro vyhledávání: '"machine learning classification"'
This research presents a comprehensive framework for analyzing liquidity in financial markets, particularly in the context of high-frequency trading. By leveraging advanced machine learning classification techniques, including Logistic Regression, Su
Externí odkaz:
http://arxiv.org/abs/2408.10016
Autor:
Lian, K., Liebovitch, L. S., Wild, M., West, H., Coleman, P. T., Chen, F., Kimani, E., Sieck, K.
This paper presents a machine learning approach to classify countries as peaceful or non-peaceful using linguistic patterns extracted from global media articles. We employ vector embeddings and cosine similarity to develop a supervised classification
Externí odkaz:
http://arxiv.org/abs/2410.03749
Autor:
Lin, Leah Ya-Ling, Hashimoto, Tetsuya, Goto, Tomotsugu, Raquel, Bjorn Jasper, Ho, Simon C. -C., Chen, Bo-Han, Kim, Seong Jin, Ling, Chih-Teng
Fast radio bursts (FRBs) are millisecond-duration radio waves from the Universe. Even though more than 50 physical models have been proposed, the origin and physical mechanism of FRB emissions are still unknown. The classification of FRBs is one of t
Externí odkaz:
http://arxiv.org/abs/2410.00576
Autor:
Shaabanzadeh, Seyedeh Soheila, Carrascosa-Zamacois, Marc, Sánchez-González, Juan, Michaelides, Costas, Bellalta, Boris
Publikováno v:
Journal of Network and Computer Applications, Volume 230, October 2024, 103939
The increase in the demand for eXtended Reality (XR)/Virtual Reality (VR) services in the recent years, poses a great challenge for Wi-Fi networks to maintain the strict latency requirements. In VR over Wi-Fi, latency is a significant issue. In fact,
Externí odkaz:
http://arxiv.org/abs/2408.08617
Discriminating between Parkinson's Disease (PD) and Progressive Supranuclear Palsy (PSP) is difficult due to overlapping symptoms, especially early on. Saccades (rapid conjugate eye movements between fixation points) are affected by both diseases but
Externí odkaz:
http://arxiv.org/abs/2407.16063
Autor:
Kahouadji, Nabil
The use of machine learning algorithms in healthcare can amplify social injustices and health inequities. While the exacerbation of biases can occur and compound during the problem selection, data collection, and outcome definition, this research per
Externí odkaz:
http://arxiv.org/abs/2402.15005
Identifying local structural motifs and packing patterns of molecular solids is a challenging task for both simulation and experiment. We demonstrate two novel approaches to characterize local environments in different polymorphs of molecular crystal
Externí odkaz:
http://arxiv.org/abs/2404.00155
Conformal predictions make it possible to define reliable and robust learning algorithms. But they are essentially a method for evaluating whether an algorithm is good enough to be used in practice. To define a reliable learning framework for classif
Externí odkaz:
http://arxiv.org/abs/2403.10368
Autor:
Guo, Fangzhou, Lin, Jie, Wang, Xiaofeng, Chen, Xiaodian, Li, Tanda, Chen, Liyang, Xia, Qiqi, Mo, Jun, Xi, Gaobo, Zhang, Jicheng, Liu, Qichun, Jiang, Xiaojun, Yan, Shengyu, Peng, Haowei, Liu, Jialian, Li, Wenxiong, Lin, Weili, Xiang, Danfeng, Ma, Xiaoran, Cai, Yongzhi
Periodic variables are always of great scientific interest in astrophysics. Thanks to the rapid advancement of modern large-scale time-domain surveys, the number of reported variable stars has experienced substantial growth for several decades, which
Externí odkaz:
http://arxiv.org/abs/2402.02604
Autor:
Bobbo, Tania1 (AUTHOR), Biscarini, Filippo2 (AUTHOR) filippo.biscarini@cnr.it, Yaddehige, Sachithra K.3 (AUTHOR), Alberghini, Leonardo3 (AUTHOR), Rigoni, Davide4 (AUTHOR), Bianchi, Nicoletta5 (AUTHOR) nicoletta.bianchi@unife.it, Taccioli, Cristian3 (AUTHOR) cristian.taccioli@unipd.it
Publikováno v:
BMC Genomics. 10/14/2024, Vol. 25 Issue 1, p1-15. 15p.