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pro vyhledávání: '"Moulton, Richard"'
In the rapidly evolving field of cybersecurity, ensuring the reproducibility of AI-driven research is critical to maintaining the reliability and integrity of security systems. This paper addresses the reproducibility crisis within the domain of adve
Externí odkaz:
http://arxiv.org/abs/2405.18753
Autor:
Matheson, Tom
Publikováno v:
The Oxford Companion to Shakespeare, 2 ed., 2015.
Akademický článek
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Autor:
Moulton, Richard Hugh, Hamgini, Behnam Behinaein, Khouzani, Zahra Abedi, Meira-Góes, Rômulo, Wang, Fei, Rudie, Karen
In discrete-event system control, the worst-case time complexity for computing a system's observer is exponential in the number of that system's states. This results in practical difficulties since some problems require calculating multiple observers
Externí odkaz:
http://arxiv.org/abs/2110.04334
Some problems in discrete-event systems (DES) model large, time-varying state spaces with complex legal languages. To address these problems, Chung et al. introduced limited lookahead policies (LLP) to provide online supervisory control for discrete-
Externí odkaz:
http://arxiv.org/abs/2006.06514
Autor:
Matheson, Tom
Publikováno v:
The Oxford Companion to Shakespeare, 1 ed., 2003.
In machine learning, the one-class classification problem occurs when training instances are only available from one class. It has been observed that making use of this class's structure, or its different contexts, may improve one-class classifier pe
Externí odkaz:
http://arxiv.org/abs/1907.04233
Autor:
Moulton, Richard Hugh, Zgraja, Jakub
Benchmark data sets are of vital importance in machine learning research, as indicated by the number of repositories that exist to make them publicly available. Although many of these are usable in the stream mining context as well, it is less obviou
Externí odkaz:
http://arxiv.org/abs/1901.11040