Results 61 to 70 of about 60,582 (310)
Subgeometric Ergodicity under Random-Time State-Dependent Drift Conditions
Journal of Probability and Statistics, 2014 Motivated by possible applications of Lyapunov techniques in the stability of stochastic networks, subgeometric ergodicity of Markov chains is investigated.
Mokaedi V. Lekgari
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Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Bulletin of Geography. Socio-Economic SeriesSecond-tier cities are an important element in the socio-economic development of each country, including V4 countries. The result is a dynamic change in land use/cover patterns.
Marcin Feltynowski +2 more
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Journal of Probability and Statistics, 2014 We investigate random-time state-dependent Foster-Lyapunov analysis on subgeometric rate ergodicity of continuous-time Markov chains (CTMCs). We are mainly concerned with making use of the available results on deterministic state-dependent drift ...
Mokaedi V. Lekgari
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Checking LTL Properties of Recursive Markov Chains
, 2005 We present algorithms for the qualitative and quantitative model checking of Linear Temporal Logic (LTL) properties for Recursive Markov Chains (RMCs). Recursive Markov Chains are a natural abstract model of procedural probabilistic programs and related ...
M. Yannakakis +3 more
core +1 more source
Markov chains and schrodinger bridges [PDF]
, 2022 The study of sequences of dependent random variables arose at the beginning of the twentieth century. In 1906 the Russian mathematician Andrei Andreyevich Markov (1856-1922), a Chebyshev’s pupil, introduced some mathematical models to this end. His focus
De Battisti, Riccardo
core
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
Advanced Science, EarlyView.System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee +9 more
wiley +1 more source
PageRank of Gluing Networks and Corresponding Markov Chains
MathematicsThis paper studies Google’s PageRank algorithm. By an innovative application of the method of gluing Markov chains, we study the properties of Markov chains and extend their applicability by accounting for the damping factor and the personalization ...
Xuqian Ben Han +2 more
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On automorphisms of Markov chains [PDF]
Transactions of the American Mathematical Society, 1992 We prove several theorems about automorphisms of Markov chains, using the weight-per-symbol polytope.
Krieger, Wolfgang +2 more
openaire +1 more source
Markov chains conditioned never to wait too long at the origin [PDF]
, 2009 Motivated by Feller's coin-tossing problem, we consider the problem of conditioning an irreducible Markov chain never to wait too long at 0. Denoting by τ the first time that the chain, X, waits for at least one unit of time at the origin, we consider ...
Jacka, Saul D.
core +1 more source