Results 71 to 80 of about 2,583,540 (350)
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.
Brian Marcus +2 more
openaire +1 more source
Comparison of Large Language Model with Aphasia
Advanced Science, EarlyView.Large language models (LLMs) answer almost all questions fluently but often inaccurately, which resembles a specific type of aphasia in humans. Using a data‐driven analysis called energy landscape analysis, this study reveals similarities in the internal information dynamics between LLMs and the brains of humans with receptive aphasia, such as Wernicke'
Takamitsu Watanabe +4 more
wiley +1 more source
Variational Formulas of Asymptotic Variance for General Discrete-time Markov Chains [PDF]
arXiv, 2020 The asymptotic variance is an important criterion to evaluate the performance of Markov chains, especially for the central limit theorems. We give the variational formulas for the asymptotic variance of discrete-time (non-reversible) Markov chains on general state space. The variational formulas provide many applications, extending the classical Peskun'
arxiv
Practical Markov Chain Monte Carlo
, 1992 Markov chain Monte Carlo using the Metropolis-Hastings algorithm is a general method for the simulation of stochastic processes having probability densities known up to a constant of proportionality.
C. Geyer
semanticscholar +1 more source
Advanced Science, EarlyView.The genome of Megachile rotundata, an extensively managed solitary pollination bee species, has been sequenced, covering 280.68 Mb and predicting 10 701 genes. The study reveals significant expansions of the Toll gene family and their abundant expression in diapause prepupae, highlighting enhanced immune responses during diapause. This genome serves as
Rangjun Shi +8 more
wiley +1 more source
The Markov Process as a Model of Migration Based on the Example of the Movement of Banknotes
Studia i Materiały, 2021 This paper presents a way of using the Markov chain model for the analysis of migration based on the example of banknote migration between regions in Poland.
Arkadiusz Manikowski
doaj +1 more source
DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation
Advanced Science, EarlyView.DiffMC‐Gen, a dual‐diffusion model for 2D and 3D molecular generation, simultaneously optimizes multiple key objectives across the drug design process, enabling the generation of novel, target‐specific small‐molecule ligands with high therapeutic potential.
Yuwei Yang +7 more
wiley +1 more source
STUDY ON THE EVOLUTION OF SOME FINANCIAL PRODUCTS BASED ON MARKOV CHAINS METHOD [PDF]
Annals of the University of Oradea: Economic Science, 2016 In probability theory it is known that Markov chain is frequently used in order to predict the future situations. Moreover, Markov chain theory is used to study the change rules of the economic phenomenons, to describe consumers’ brand loyalty, in ...
Marta Kovacs (Kiss)
doaj
Lifting -- A nonreversible Markov chain Monte Carlo Algorithm [PDF]
, 2014 Markov chain Monte Carlo algorithms are invaluable tools for exploring stationary properties of physical systems, especially in situations where direct sampling is unfeasible.
M. Vucelja
semanticscholar +1 more source
Stochastic Processes and their ApplicationsThe Importance Markov chain is a novel algorithm bridging the gap between rejection sampling and importance sampling, moving from one to the other through a tuning parameter. Based on a modified sample of an instrumental Markov chain targeting an instrumental distribution (typically via a MCMC kernel), the Importance Markov chain produces an extended ...
Charly Andral +3 more
openaire +3 more sources