Using Probabilistic Models for Data Compression
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- Masaki Ishikawa & Hajime Kawakami, 2013. "Compression-based distance between string data and its application to literary work classification based on authorship," Computational Statistics, Springer, vol. 28(2), pages 851-873, April.
- Enchakudiyil Ibrahim Abdul-Sathar & Glory Sathyanesan Sathyareji, 2018. "Estimation Of Dynamic Cumulative Past Entropy For Power Function Distribution," Statistica, Department of Statistics, University of Bologna, vol. 78(4), pages 319-334.
- Athanasios Sachlas & Takis Papaioannou, 2014. "Residual and Past Entropy in Actuarial Science and Survival Models," Methodology and Computing in Applied Probability, Springer, vol. 16(1), pages 79-99, March.
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Cited by:
- Helio M. de Oliveira & Raydonal Ospina & Carlos Martin-Barreiro & Víctor Leiva & Christophe Chesneau, 2023. "On the Use of Variability Measures to Analyze Source Coding Data Based on the Shannon Entropy," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
- Cristina-Liliana Pripoae & Iulia-Elena Hirica & Gabriel-Teodor Pripoae & Vasile Preda, 2023. "Holonomic and Non-Holonomic Geometric Models Associated to the Gibbs–Helmholtz Equation," Mathematics, MDPI, vol. 11(18), pages 1-20, September.
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Keywords
data compression; descriptors; probabilistic models; entropy; Huffman coding; coding redundancy; coding efficiency; artificial intelligence;All these keywords.
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