Cargando…
Quantum-Inspired Magnetic Hamiltonian Monte Carlo
Hamiltonian Monte Carlo (HMC) is a Markov Chain Monte Carlo algorithm that is able to generate distant proposals via the use of Hamiltonian dynamics, which are able to incorporate first-order gradient information about the target posterior. This has driven its rise in popularity in the machine learn...
Autores principales: | Mongwe, Wilson Tsakane, Mbuvha, Rendani, Marwala, Tshilidzi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491946/ https://www.ncbi.nlm.nih.gov/pubmed/34610053 http://dx.doi.org/10.1371/journal.pone.0258277 |
Ejemplares similares
-
Bayesian inference of local government audit outcomes
por: Mongwe, Wilson Tsakane, et al.
Publicado: (2021) -
Bayesian inference of COVID-19 spreading rates in South Africa
por: Mbuvha, Rendani, et al.
Publicado: (2020) -
Quantum Monte Carlo simulation of a particular class of non-stoquastic Hamiltonians in quantum annealing
por: Ohzeki, Masayuki
Publicado: (2017) -
Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media
por: Fichtner, Andreas, et al.
Publicado: (2018) -
Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems
por: Marwala, Tshilidzi
Publicado: (2012)