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Wormhole Hamiltonian Monte Carlo
In machine learning and statistics, probabilistic inference involving multimodal distributions is quite difficult. This is especially true in high dimensional problems, where most existing algorithms cannot easily move from one mode to another. To address this issue, we propose a novel Bayesian infe...
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| Publié dans: | Proc AAAI Conf Artif Intell |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4386289/ https://ncbi.nlm.nih.gov/pubmed/25861551 |
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