Results 71 to 80 of about 488,120 (194)
Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning [PDF]
IEEE Robotics and Automation Letters, 2017 In this letter, a sparse Markov decision process (MDP) with novel causal sparse Tsallis entropy regularization is proposed. The proposed policy regularization induces a sparse and multimodal optimal policy distribution of a sparse MDP.
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
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The Tsallis entropy and the Shannon entropy of a universal probability [PDF]
2008 IEEE International Symposium on Information Theory, 2008 5 pages, to appear in the Proceedings of the 2008 IEEE International Symposium on Information Theory, Toronto, ON, Canada, July 6 - 11 ...
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Tsallis’ entropy maximization procedure revisited [PDF]
Physica A: Statistical Mechanics and its Applications, 2000 The proper way of averaging is an important question with regards to Tsallis' Thermostatistics. Three different procedures have been thus far employed in the pertinent literature. The third one, i.e., the Tsallis-Mendes-Plastino (TMP) normalization procedure, exhibits clear advantages with respect to earlier ones.
Martinez, S. +3 more
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Tsallis Mutual Information for Document Classification
Entropy, 2011 Mutual information is one of the mostly used measures for evaluating image similarity. In this paper, we investigate the application of three different Tsallis-based generalizations of mutual information to analyze the similarity between scanned ...
Màrius Vila +3 more
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A method for combining conflicting evidences with improved distance function and Tsallis entropy
International Journal of Intelligent Systems, 2020 For the sake of great ability of handling uncertain information, Dempster‐Shafer evidence theory is extensively used in information fusion. Nevertheless, when there exists highly inconsistent evidences, using classical Dempster's combination rule may ...
Hanwen Li, Fuyuan Xiao
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Generalized entropies and corresponding holographic dark energy models
European Physical Journal C: Particles and Fields, 2020 Using Tsallis statistics and its relation with Boltzmann entropy, the Tsallis entropy content of black holes is achieved, a result in full agreement with a recent study (Mejrhit and Ennadifi in Phys Lett B 794:24, 2019). In addition, employing Kaniadakis
H. Moradpour +2 more
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Parameterized coherence measure
Results in Physics, 2023 Quantifying coherence is an essential endeavor for both quantum mechanical foundations and quantum technologies. We present a bona fide measure of quantum coherence by utilizing the Tsallis relative operator (α,β)-entropy.
Meng-Li Guo +4 more
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Uncertainty measure based on Tsallis entropy in evidence theory
International Journal of Intelligent Systems, 2019 Dempster‐Shafer evidence theory has been widely used in many applications due to its advantages with weaker conditions than Bayes probability. How to measure the uncertainty of basic probability assignment (BPA) in Dempster‐Shafer evidence theory is an ...
Xiaozhuan Gao +4 more
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Entropy, 2020 The velocity profile of an open channel is an important research topic in the context of open channel hydraulics; in particular, the velocity-dip position has drawn the attention of hydraulic scientists.
Zhongfan Zhu +3 more
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Tsallis entropy and hyperbolicity [PDF]
AIP Conference Proceedings, 2013 5 pages, No figures. Standard LaTeX2e. Contributed talk to ICNAAM 2013, Rhodes, Greece 21-27 September 2013.
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