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High-order Markov kernels for intrusion detection
Neurocomputing, 2008In 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 ...
Chuanhuan Yin +2 more
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Apnea Detection Based on Hidden Markov Model Kernel
20110 ...
Travieso, Carlos M. +3 more
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Universal Markov Kernels for Quantum Observables
2019We prove the existence of a universal Markov kernel, i.e., a Markov kernel µ such that every commutative POVM F is the smearing of a selfadjoint operator AF with the smearing realized through µ. The relevance of the smearing is illustrated in connection with the problem of the joint measurability of two quantum observables.
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Continuous Affine Functions on the Space of Markov Kernels
Theory of Probability & Its Applications, 1986Reprint from Teor. Veroyatn. Primen. 30, No.3, 486-498 (1985; Zbl 0584.60005).
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Representations of state space transformations by Markov kernels
International Journal of Theoretical Physics, 1991zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling
Nature Electronics, 2021Thomas Dalgaty +2 more
exaly
When and why PINNs fail to train: A neural tangent kernel perspective
Journal of Computational Physics, 2022Sifan Wang, Xinling Yu
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Non-Markov rate kernels: Application to batch auction
SSRN Electronic Journal, 2021Martin Smid, Aleš Kuběna
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