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High-Order Markov Kernels for Network Intrusion Detection
2006In intrusion detection systems, sequences of system calls executed by running programs can be used as evidence to detect anomalies. Markov chain is often adopted as the model in the detection systems, in which high-order Markov chain model is well suited for the detection, but as the order of the chain increases, the number of parameters of the model ...
Shengfeng Tian +2 more
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Stability and Control of Fuzzy Semi-Markov Jump Systems Under Unknown Semi-Markov Kernel
IEEE Transactions on Fuzzy Systems, 2022Shun-Feng Su, Zepeng Ning
exaly
On the Asymptotic Properties of Some Kernel Estimators for Continuous-Time Semi-Markov Processes
Journal of Nonparametric Statistics, 2022Vlad Stefan Barbu
exaly
SMC for Discrete Fuzzy Semi-Markov Jump Models With Partly Known Semi-Markov Kernel
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023Huaicheng Yan, Ju H. Park, Wenhai Qi
exaly
A Method for Degradation Prediction Based on Hidden Semi-Markov Models With Mixture of Kernels
Computers in Industry, 2020Zeyu Zheng, Liang Qi, Tianji Yang
exaly
Generalization Performance of Gaussian Kernels SVMC Based on Markov Sampling
Neural Networks, 2014Yang Lu, Luoqing Li, Bin Zou
exaly
A Functional Central Limit Theorem for the Empirical Estimator of a Semi-Markov Kernel
Journal of Nonparametric Statistics, 2004Nikolaos Limnios
exaly

