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Jensen-Shannon divergence and Hilbert space embedding
Abstract
This paper describes the Jensen-Shannon divergence (JSD) and Hilbert space embedding. With natural definitions making these considerations precise, one finds that the general Jensen-Shannon divergence related to the mixture is the minimum redundancy, which can be achieved by the observer. The set of distributions with the metric /spl radic/JSD can even be embedded isometrically into Hilbert space and the embedding can be identified.
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Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means
Nielsen, F. (2019) · Entropy · doi:10.3390/e21050485 · Cited by 257
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Automatic bearing fault diagnosis using particle swarm clustering and hidden Markov model
Yuwono, M., Qin, Y., Zhou, J., Guo, Y., Celler, B. G., & Su, S. W. (2016) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2015.03.007 · Cited by 88
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Metadata
- Authors
- Fuglede, B., & Topsoe, F.
- Venue
- International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.
- Publisher
- IEEE
- Published
- 2004-12-23
- Pages
- 30-30
- OpenAlex
- W2105767494
- Cited by
- 612
- References
- 0
- FWCI
- 9.38
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Fuglede, B., & Topsoe, F. (2004). Jensen-Shannon divergence and Hilbert space embedding. International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings. https://doi.org/10.1109/isit.2004.1365067
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