Introduction to Monte Carlo Methods-Reference-Cited by-同舟云学术

Introduction to Monte Carlo Methods

Published:2020 Issue: Volume: Page:1-17
ISSN:
Container-title:Monte Carlo Methods
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Author:

Barbu Adrian,Zhu Song-Chun

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-2971-5_1

Reference10 articles.

1. Becker OM, Karplus M (1997) The topology of multidimensional potential energy surfaces: theory and application to peptide structure and kinetics. J Chem Phys 106(4):1495–1517

2. Hinton G (2002) Training products of experts by minimizing contrastive divergence. Neural Comput 14(8):1771–1800

3. Isard M, Blake A (1998) Condensation: conditional density propagation for visual tracking. Int J Comput Vis 29(1):5–28

4. Lewis JT, Pfister C-E, Sullivan WG (1995) Entropy, concentration of probability and conditional limit theorems. Markov Process Relat Fields 1(GR-PF-ARTICLE-1995-004):319–386

5. Pavlovskaia M (2014) Mapping highly nonconvex energy landscapes in clustering, grammatical and curriculum learning. Ph.D. thesis, Doctoral Dissertation, UCLA

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