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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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| 出版年: | Proc AAAI Conf Artif Intell |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4386289/ https://ncbi.nlm.nih.gov/pubmed/25861551 |
| タグ: |
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