Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Zeyi Wen"'
Publikováno v:
Atmosphere, Vol 14, Iss 2, p 393 (2023)
Accurate assessments of exposure to urban air pollution with higher traffic emissions and its health risks still face several challenges, such as intensive computation of air pollution modeling and the limited availability of personal activity data.
Externí odkaz:
https://doaj.org/article/3cf10bf7429f4246b63ea4477370af90
Publikováno v:
In Structures October 2023 56
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:3751-3764
Choosing a decomposition method for multi-class classification is an important trade-off between efficiency and predictive accuracy. Trying all the decomposition methods to find the best one is too time-consuming for many applications, while choosing
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:1084-1096
Structured Support Vector Machines (structured SVMs) are a fundamental machine learning algorithm, and have solid theoretical foundation and high effectiveness in applications such as natural language parsing and computer vision. However, training st
Publikováno v:
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming.
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
Bayesian networks (BNs) are a widely used graphical model in machine learning for representing knowledge with uncertainty. The mainstream BN structure learning methods require performing a large number of conditional independence (CI) tests. The lear
Publikováno v:
Macro Management & Public Policies. 2:3-13
The settlement of EDPs [1] is one of the most knotty problems created by climate changes. In this paper, our team will give a comprehensive solution to tackle it. We construct two migration models to maximize the outcome of protecting the rights of E
Publikováno v:
AAAI
Gradient Boosting Decision Trees (GBDTs) have become very successful in recent years, with many awards in machine learning and data mining competitions. There have been several recent studies on how to train GBDTs in the federated learning setting. I