Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection

Ao Jin; Zhichao Wu; Li Zhu; Qianchen Xia; Xin Yang

doi:10.1007/978-981-99-8073-4_14

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Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection

Ao Jin Zhichao Wu Li Zhu Qianchen Xia Xin Yang

Year: 2023 Lecture notes in computer science Pages: 175-187 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-8073-4_14

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Keywords:

Computer science Anomaly detection Artificial intelligence Robustness (evolution) Reinforcement learning Pattern recognition (psychology) Supervised learning Artificial neural network Machine learning Generalization Domain adaptation Noise (video) Mathematics Image (mathematics) Classifier (UML)

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection

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