Results 291 to 300 of about 776,491 (337)

Weak Convergence of Markov Kernels

2015
As indicated in the previous chapter, stable convergence of random variables can be seen as suitable convergence of Markov kernels given by conditional distributions. The required facts from the theory of weak convergence of Markov kernels will be presented in this chapter.
Erich Häusler, Harald Luschgy
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Spatial Markov Kernels for Image Categorization and Annotation

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011
This paper presents a novel discriminative stochastic method for image categorization and annotation. We first divide the images into blocks on a regular grid and then generate visual keywords through quantizing the features of image blocks. The traditional Markov chain model is generalized to capture 2-D spatial dependence between visual keywords by ...
, Zhiwu Lu, H H S, Ip
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Aspects of large random Markov kernels

Stochastics, 2009
We briefly review certain asymptotic properties of random Markov kernels on a finite state space. These models can be thought of as finite Markov chains in random environment. Here, the asymptotics are taken with respect to the cardinality of the state space. We study, for instance, the behaviour of the normalized invariant vector, the global behaviour
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High-order Markov kernels for intrusion detection

Neurocomputing, 2008
In 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, Shengfeng Tian, Shaomin Mu   +2 more
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Apnea Detection Based on Hidden Markov Model Kernel

2011
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Travieso, Carlos M., Alonso, Jesús B., Ticay-Rivas, Jaime R., Del Pozo-Baños, Marcos   +3 more
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Asynchronous Dynamic Output Feedback Control for Discrete Nonlinear Networked Semi-Markov Jump Models With Cyber Attacks and Applications

IEEE Transactions on Automation Science and Engineering
In this work, the asynchronous dynamic output feedback control is investigated for discrete nonlinear networked semi-Markov jump models with cyber attacks, in which asynchronous phenomenon refers to the mode mismatch between the controller and the system.
Wenhai Qi, Runkun Li, Guangdeng Zong, Huaicheng Yan, Zhengguang Wu, Jun Cheng   +5 more
semanticscholar   +1 more source

Universal Markov Kernels for Quantum Observables

2019
We 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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Reinforcement Learning Control of Double-Layer Markov Jump Systems With PDT-Switched Transition Probabilities

IEEE Transactions on Automation Science and Engineering
This paper proposes a data-based reinforcement Q-learning control method to efficiently solve the $H_{\infty }$ control problem for discrete-time double-layer Markov jump systems (DLMJSs).
Hao Shen, Jiacheng Wu, Yun Wang, Huaicheng Yan, Shengyuan Xu   +4 more
semanticscholar   +1 more source

Resilient Static Output Feedback Control of Linear Semi-Markov Jump Systems With Incomplete Semi-Markov Kernel

IEEE Transactions on Automatic Control, 2021
Yongxiao Tian, Yan Huaicheng, Hao Zhang, Xisheng Zhan, Yan Peng   +4 more
semanticscholar   +1 more source

Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations

IEEE Transactions on Automatic Control, 2018
The slow state variables feedback stabilization problem for semi-Markov jump discrete-time systems with slow sampling singular perturbations is discussed in this work.
Hao Shen, Feng Li, Shengyuan Xu, V. Sreeram   +3 more
semanticscholar   +1 more source