Zobrazeno 1 - 10
of 29 180
pro vyhledávání: '"A, Nemeth"'
Autor:
Barile, Francesco, Nemeth, Christopher
This paper presents a control variate-based Markov chain Monte Carlo algorithm for efficient sampling from the probability simplex, with a focus on applications in large-scale Bayesian models such as latent Dirichlet allocation. Standard Markov chain
Externí odkaz:
http://arxiv.org/abs/2410.00845
Publikováno v:
Sci. Rep., 14 (2024), no. 20592
Human longevity leaders with remarkably long lifespan play a crucial role in the advancement of longevity research. In this paper, we propose a stochastic model to describe the evolution of the age of the oldest person in the world by a Markov proces
Externí odkaz:
http://arxiv.org/abs/2409.03353
Publikováno v:
2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, Republic of, 2024, pp. 252-257
This paper proposes a control technique for autonomous RC car racing. The presented method does not require any map-building phase beforehand since it operates only local path planning on the actual LiDAR point cloud. Racing control algorithms must h
Externí odkaz:
http://arxiv.org/abs/2408.15152
Publikováno v:
2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, Republic of, 2024, pp. 264-271
In recent years, the number and importance of autonomous racing leagues, and consequently the number of studies on them, has been growing. The seamless integration between different series has gained attention due to the scene's diversity. However, t
Externí odkaz:
http://arxiv.org/abs/2408.15049
Autor:
Németh, László, Szalay, László
We give a method to determine an explicit solution to a system of two inhomogeneous linear recursive sequences of higher order. Our approach can be used efficiently in solving certain combinatorial problems. We finish the paper by considering a tilin
Externí odkaz:
http://arxiv.org/abs/2408.12196
We compare the effective action of the scale factor obtained from lattice quantum gravity (in the form of Causal Dynamical Triangulations (CDT)) to the corresponding effective action obtained from the simplest Functional Renormalization Group (FRG) c
Externí odkaz:
http://arxiv.org/abs/2408.07808
In response to global concerns regarding air quality and the environmental impact of greenhouse gas emissions, detecting and quantifying sources of emissions has become critical. To understand this impact and target mitigations effectively, methods f
Externí odkaz:
http://arxiv.org/abs/2408.01298
In this paper, we generalise an interesting geometry problem from the 1995 edition of the International Mathematical Olympiad (IMO) using analytic geometry tools.
Comment: 9 pages, 5 figures
Comment: 9 pages, 5 figures
Externí odkaz:
http://arxiv.org/abs/2408.01071
The Metropolis-Hastings (MH) algorithm is one of the most widely used Markov Chain Monte Carlo schemes for generating samples from Bayesian posterior distributions. The algorithm is asymptotically exact, flexible and easy to implement. However, in th
Externí odkaz:
http://arxiv.org/abs/2407.19602
This book aims to provide a graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC) algorithms, as applied broadly in the Bayesian computational context. Most, if not all of these topics (stochastic gradient MCMC, non-revers
Externí odkaz:
http://arxiv.org/abs/2407.12751