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Elements of Information Theory
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Citations
Cited by
Newman (2005) · doi:10.1080/00107510500052444 · Cited by 5,749
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Decoherence, einselection, and the quantum origins of the classical
Zurek, W. H. (2003) · Reviews of Modern Physics · doi:10.1103/revmodphys.75.715 · Cited by 4,295
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
Liu, F., Cui, Y., Masouros, C., Xu, J., Han, T. X., Eldar, Y. C., & Buzzi, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3156632 · Cited by 3,857
An Introduction to Variational Methods for Graphical Models
Jordan, M. I., Ghahramani, Z., Jaakkola, T. S., & Saul, L. K. (1999) · Machine Learning · doi:10.1023/a:1007665907178 · Cited by 3,791
Quantum Discord: A Measure of the Quantumness of Correlations
Ollivier, H., & Zurek, W. H. (2001) · Physical Review Letters · doi:10.1103/physrevlett.88.017901 · Cited by 3,616
Kraskov, A., Stögbauer, H., & Grassberger, P. (2004) · Physical Review E · doi:10.1103/physreve.69.066138 · Cited by 3,512
Text classification from labeled and unlabeled documents using EM
Nigam, K., Mccallum, A. K., Thrun, S., & Mitchell, T. (2000) · Machine Learning · doi:10.1023/a:1007692713085 · Cited by 2,736
Anchors: High-Precision Model-Agnostic Explanations
Ribeiro, M. T., Singh, S., & Guestrin, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11491 · Cited by 2,162
Concentration Inequalities: A Nonasymptotic Theory of Independence
Boucheron, S., Lugosi, G., & Massart, P. (2013) · doi:10.1093/acprof:oso/9780199535255.001.0001 · Cited by 1,768
Factorial Hidden Markov Models
Ghahramani, Z., & Jordan, M. I. (1997) · Machine Learning · doi:10.1023/a:1007425814087 · Cited by 1,157
The hierarchical hidden Markov model: Analysis and applications
Fine, S., Singer, Y., & Tishby, N. (1998) · Machine Learning · doi:10.1023/a:1007469218079 · Cited by 906
Clinical Diagnostics in Human Genetics with Semantic Similarity Searches in Ontologies
Köhler, S., Schulz, M. H., Krawitz, P., Bauer, S., Dölken, S., Ott, C. E., Mundlos, C., Horn, D., Mundlos, S., & Robinson, P. N. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.09.003 · Cited by 590
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
Nguyen, X., Wainwright, M. J., & Jordan, M. I. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2010.2068870 · Cited by 379
Entropy measures for networks: Toward an information theory of complex topologies
Anand, K., & Bianconi, G. (2009) · Physical Review E · doi:10.1103/physreve.80.045102 · Cited by 368
The Nonlinear Statistics of High-Contrast Patches in Natural Images
Lee, A. B., Pedersen, K. S., & Mumford, D. (2003) · International Journal of Computer Vision · doi:10.1023/a:1023705401078 · Cited by 234
Harrow, A. W., & Napp, J. C. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.140502 · Cited by 121
Entanglement-Assisted Communication of Classical and Quantum Information
Hsieh, M.-H., & Wilde, M. M. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2010.2053903 · Cited by 112
Hippocampo-cortical circuits for selective memory encoding, routing, and replay
Harvey, R. E., Robinson, H. L., Liu, C., Oliva, A., & Fernandez-Ruiz, A. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.015 · Cited by 101
Shared information—new insights and problems in decomposing information in complex systems
Bertschinger, N., Rauh, J., Olbrich, E., & Jost, J. (2013) · Springer Proceedings in Complexity · doi:10.1007/978-3-319-00395-5_35 · Cited by 45
Quantum proofs for classical theorems
(2011) · Theory of Computing · doi:10.4086/toc.gs.2011.002 · Cited by 41
A measure of survey mode differences
Homola, J., Jackson, N., & Gill, J. (2016) · Electoral Studies · doi:10.1016/j.electstud.2016.06.010 · Cited by 21
Nearly maximal information gain due to time integration in central dogma reactions
Sarkar, S., & Rammohan, J. (2023) · iScience · doi:10.1016/j.isci.2023.106767
Metadata
- Authors
- Phoenix, S. J. D.
- Venue
- Journal of Modern Optics
- Publisher
- Informa UK Limited
- Published
- 1992-07
- Volume
- 39
- Issue
- 7
- Pages
- 1600-1601
- ISSN
- 0950-0340 (ISSN-L)
- 1362-3044
- OpenAlex
- W2044442377
- Cited by
- 1,380
- References
- 0
- FWCI
- 2.72
- Type
- journal article
- 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.
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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.