Zobrazeno 1 - 10
of 8 033
pro vyhledávání: '"Directed Acyclic Graph"'
Publikováno v:
Epidemiology : An Introduction, 2025, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780197751541.003.0015
Publikováno v:
Zhongguo cuzhong zazhi, Vol 19, Iss 10, Pp 1221-1229 (2024)
Abstract: Directed acyclic graph (DAG) is a visualization tool to construct causal hypotheses in causal inference, which can be used to control confounding bias in observational studies by screening the minimal adjustment subsets that need to be adju
Externí odkaz:
https://doaj.org/article/0cd908e1425a4d88948cfd1a06dec86c
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 27834-27847 (2024)
Let $ G $ be a directed graph with $ \mathrm{o}\mathrm{r}\mathrm{d}\mathrm{e}\mathrm{r}\; n. $ The adjacency matrix of the directed graph $ G $ is a matrix $ A = \left[{a}_{ij}\right] $ of order $ n\times n, $ such that for $ i\ne j $, if there is an
Externí odkaz:
https://doaj.org/article/3538f425a9c84901b60260aeef7ff70b
Autor:
Xu, Xiaojie, Zhang, Yun
Publikováno v:
Journal of Modelling in Management, 2023, Vol. 19, Issue 4, pp. 1079-1093.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-08-2023-0171
Autor:
M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina
Publikováno v:
Известия высших учебных заведений России: Радиоэлектроника, Vol 27, Iss 3, Pp 108-123 (2024)
Introduction. Analysis of locomotor activity is essential in a number of biomedical and pharmacological research designs, as well as environmental monitoring. The movement trajectories of biological objects can be represented by time series exhibitin
Externí odkaz:
https://doaj.org/article/d5c83db573144538ad2b8f8224f5bf77
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7373-7399 (2024)
Abstract In this paper, we address the challenges of random label ordering and limited interpretability associated with Ensemble Classifier Chains (ECC) by introducing a novel ECC method, ECC-MOO&BN, which integrates Bayesian Networks (BN) and Multi-
Externí odkaz:
https://doaj.org/article/6c41b04163a74220ad2b93c6fb105106
Autor:
Bonan Yang, Mahdi Gharebhaygloo, Hannah Rachel Rondi, Efrosini Hortis, Emilia Zeledon Lostalo, Xiaolan Huang, Gunes Ercal
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-28 (2024)
Abstract We present the first formal network analysis of curricular networks for public institutions, focusing around five midwestern universities. As a first such study of public institutions, our analyses are primarily macroscopic in nature, observ
Externí odkaz:
https://doaj.org/article/2e885a5386714ce086df0058d7df6621
Autor:
Kristina Polotskaya, Carlos S. Muñoz-Valencia, Alejandro Rabasa, Jose A. Quesada-Rico, Domingo Orozco-Beltrán, Xavier Barber
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1243-1262 (2024)
Bayesian networks (BNs) are probabilistic graphical models that leverage Bayes’ theorem to portray dependencies and cause-and-effect relationships between variables. These networks have gained prominence in the field of health sciences, particularl
Externí odkaz:
https://doaj.org/article/a67191b9cbf5467e8a3be7441ec6ab7a
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 795-807 (2024)
Anthony J Kondracki,1 John R Attia,2 Matthew J Valente,3 Kimberly B Roth,1 Marshall Akin,4 Claire A McCarthy,5 Jennifer L Barkin1 1Department of Community Medicine, Mercer University School of Medicine, Savannah and Macon, GA, USA; 2School of Medicin
Externí odkaz:
https://doaj.org/article/5a8250b5ff2c4279af307e58f9b58124
Autor:
José Antonio Castán Rocha, Alejandro Santiago, Alejandro H. García-Ruiz, Jesús David Terán-Villanueva, Salvador Ibarra Martínez, Mayra Guadalupe Treviño Berrones
Publikováno v:
Mathematics, Vol 12, Iss 23, p 3733 (2024)
Recent advances in cloud computing, large language models, and deep learning have started a race to create massive High-Performance Computing (HPC) centers worldwide. These centers increase in energy consumption proportionally to their computing capa
Externí odkaz:
https://doaj.org/article/af79acc26fe64febb6a0c18b3039cd36