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Non-logarithmic Jensen–Shannon divergence

✍ Scribed by Pedro W. Lamberti; Ana P. Majtey

Book ID
104340948
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
165 KB
Volume
329
Category
Article
ISSN
0378-4371

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✦ Synopsis

The Jensen-Shannon divergence is a symmetrized and smoothed version of the Kullback-Leibler divergence. Recently it has been widely applied to the analysis and characterization of symbolic sequences. In this paper we investigate a generalization of the Jensen-Shannon divergence. This generalization is done in the framework of the non-extensive Tsallis statistics. We study its basic properties and we investigate its applicability as a tool for segmentating symbolic sequences.

📜 SIMILAR VOLUMES

The Jensen-Shannon divergence
The Jensen-Shannon divergence
✍ M.L. Menéndez; J.A. Pardo; L. Pardo; M.C. Pardo 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 500 KB
The Jensen-Shannon divergence
The Jensen-Shannon divergence
✍ M.L. Menéndez; J.A. Pardo; L. Pardo; M.C. Pardo 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 500 KB

In this paper we investigate the Jensen-Shannon parametric divergence .for testing goodness-of-fit for point estimation. Most of the work presented is an analytical study of the asymptotic differences between different members of the family proposed in goodness oJfit, together with an examination of