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Stochastic Complexity in Statistical Inquiry
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Citations
Cited by
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483
Learning Deep Architectures for AI
Bengio, Y. (2009) · now publishers, Inc. eBooks · doi:10.1561/9781601982957 · Cited by 4,941
(1989) · Cited by 3,214
An entropy criterion for assessing the number of clusters in a mixture model
Celeux, G., & Soromenho, G. (1996) · Journal of Classification · doi:10.1007/bf01246098 · Cited by 2,448
Model Selection: An Integral Part of Inference
Buckland, S. T., Burnham, K. P., & Augustin, N. H. (1997) · Biometrics · doi:10.2307/2533961 · Cited by 1,717
The "Wake-Sleep" Algorithm for Unsupervised Neural Networks
Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995) · Science · doi:10.1126/science.7761831 · Cited by 1,070
Comparing dynamic causal models.
Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848
Distributional regularity and phonotactic constraints are useful for segmentation
Brent, M. R., & Cartwright, T. A. (1996) · Cognition · doi:10.1016/s0010-0277(96)00719-6 · Cited by 514
Minimum complexity density estimation
Barron, A. R., & Cover, T. M. (1991) · IEEE Transactions on Information Theory · doi:10.1109/18.86996 · Cited by 497
The Effects of Adding Noise During Backpropagation Training on a Generalization Performance
An, G. (1996) · Neural Computation · doi:10.1162/neco.1996.8.3.643 · Cited by 475
Computational Mechanics: Pattern and Prediction, Structure and Simplicity
Shalizi, C. R., & Crutchfield, J. P. (2001) · Journal of Statistical Physics · doi:10.1023/a:1010388907793 · Cited by 471
Huang, Y., & Rao, R. P. N. (2011) · WIREs Cognitive Science · doi:10.1002/wcs.142 · Cited by 470
Anderson, D. R., Burnham, K. P., & White, G. C. (1998) · Journal of Applied Statistics · doi:10.1080/02664769823250 · Cited by 311
A tutorial introduction to the minimum description length principle
Grunwald, P. (2004) · arXiv · doi:10.48550/arxiv.math/0406077 · Cited by 293
Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex
Rao, R. P. N., & Ballard, D. H. (1997) · Neural Computation · doi:10.1162/neco.1997.9.4.721 · Cited by 290
Morph-based speech recognition and modeling of out-of-vocabulary words across languages
Creutz, M., Hirsimäki, T., Kurimo, M., Puurula, A., Pylkkönen, J., Siivola, V., Varjokallio, M., Arisoy, E., Saraçlar, M., & Stolcke, A. (2007) · ACM Transactions on Speech and Language Processing · doi:10.1145/1322391.1322394 · Cited by 127
Unlimited vocabulary speech recognition with morph language models applied to Finnish
Hirsimäki, T., Creutz, M., Siivola, V., Kurimo, M., Virpioja, S., & Pylkkönen, J. (2006) · Computer Speech & Language · doi:10.1016/j.csl.2005.07.002 · Cited by 124
Wavelet-Improved Score-Based Generative Model for Medical Imaging
Wu, W., Wang, Y., Liu, Q., Wang, G., & Zhang, J. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3325824 · Cited by 105
Computing Accurate Correspondences across Groups of Images
Cootes, T. F., Twining, C. J., Petrovic, V. S., Babalola, K. O., & Taylor, C. J. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.193 · Cited by 70
(2003) · doi:10.71910/supsi.7059 · Cited by 11
Metadata
- Authors
- Rissanen, J.
- Venue
- WORLD SCIENTIFIC eBooks
- Publisher
- WORLD SCIENTIFIC
- Published
- 1998-10
- DOI
- 10.1142/0822
- OpenAlex
- W1533169541
- Cited by
- 1,539
- References
- 0
- FWCI
- 21.25
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.