The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
A Bayesian framework for word segmentation: Exploring the effects of context
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Equation of State Calculations by Fast Computing Machines
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Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
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Markov Chain Monte Carlo in Practice
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Sequential Monte Carlo Methods in Practice
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How to grow a mind: Statistics, structure, and abstraction
Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011) · Science · doi:10.1126/science.1192788 · Cited by 1,815
Self-citationProbabilistic models of cognition: exploring representations and inductive biases
Griffiths, T. L., Chater, N., Kemp, C., Perfors, A., & Tenenbaum, J. B. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.004 · Cited by 568
Self-citationThe extraction and integration framework: A two-process account of statistical learning
Thiessen, E. D., Kronstein, A. T., & Hufnagle, D. G. (2013) · Psychological Bulletin · doi:10.1037/a0030801 · Cited by 202
The computational nature of memory modification
Gershman, S. J., Monfils, M.-H., Norman, K. A., & Niv, Y. (2017) · eLife · doi:10.7554/elife.23763 · Cited by 172
Symbol emergence in robotics: a survey
Taniguchi, T., Nagai, T., Nakamura, T., Iwahashi, N., Ogata, T., & Asoh, H. (2016) · Advanced Robotics · doi:10.1080/01691864.2016.1164622 · Cited by 150
Metadata
- Authors
- Goldwater, S., Griffiths, T. L., & Johnson, M.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2009-07
- Volume
- 112
- Issue
- 1
- Pages
- 21-54
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W2126377586
- Cited by
- 431
- References
- 87
- FWCI
- 54.21
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
