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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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Learning performance of regularized regression with multiscale kernels based on Markov observations
Applied Mathematics and Computation, 2021Lu Liu
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Some Geometric Observations on Heat Kernels of Markov Semigroups with Non-local Generators
Trends in Mathematics, 2023Niels Jacob, Jacob Niels
exaly
Generalization performance of Gaussian kernels SVMC based on Markov sampling
Neural Networks, 2014Yang Lu, Luoqing Li, Yuan Yan Tang
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Characterisation of possibility measures of fuzzy events using Markov kernels
Fuzzy Sets and Systems, 1992Radko Mesiar
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Computable bounds for solutions to Poisson’s equation and perturbation of Markov kernels
BernoulliLoïc Hervé
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Information geometry of the family of Markov kernels defined by a context tree
2017Jun'Ichi Takeuchi
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Explicit bounds for spectral theory of geometrically ergodic Markov kernels and applications
BernoulliLoïc Hervé
exaly

