Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chongya Song"'
Publikováno v:
IEEE Access, Vol 9, Pp 23007-23024 (2021)
In the field of neural network, stochastic gradient descent is often employed as an effective method of accelerating the result's convergence. Generating the new gradient from the past gradient is a common method adopted by many existing optimization
Externí odkaz:
https://doaj.org/article/e4904363afe749dbbd704516f78d6aaf
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2421 (2018)
In the field of network intrusion, malware usually evades anomaly detection by disguising malicious behavior as legitimate access. Therefore, detecting these attacks from network traffic has become a challenge in this an adversarial setting. In this
Externí odkaz:
https://doaj.org/article/f97cef0ca3da40b7866d4e74c130e395
Publikováno v:
IEEE Access, Vol 9, Pp 23007-23024 (2021)
In the field of neural network, stochastic gradient descent is often employed as an effective method of accelerating the result’s convergence. Generating the new gradient from the past gradient is a common method adopted by many existing optimizati
Publikováno v:
AI
Volume 1
Issue 2
Pages 16-262
Volume 1
Issue 2
Pages 16-262
In the field of machine learning, an ensemble approach is often utilized as an effective means of improving on the accuracy of multiple weak base classifiers. A concern associated with these ensemble algorithms is that they can suffer from the Curse
Publikováno v:
ICMLA
The emerging technology of Software–Defined Networking (SDN) affords a platform and architecture which is dynamic, manageable, cost-effective, and adaptable, making it ideal for many applications that are high-bandwidth and dynamic in nature. As th