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Beyond Entropy: Organization as the Preservation of Structural Identity. [PDF]
Entropy (Basel)Silva RJ.
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Joint UAV Placement and Active IRS Gain Optimization for Covert Communications. [PDF]
Sensors (Basel)Qu G, Shen M, Liu K, Xu B, Qian Y.
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Information Loss in Scalar Monetary Aggregation: A Tensorial Langevin Framework for Financial Shock Propagation and Policy Targeting. [PDF]
Entropy (Basel)Pinheiro MR, Pinheiro MJ.
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Estimation of Kullback–Leibler Divergence by Local Likelihood
Annals of the Institute of Statistical Mathematics, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Young Kyung, Park, Byeong U.
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Kullback–Leibler Divergence Metric Learning
IEEE Transactions on Cybernetics, 2022The Kullback-Leibler divergence (KLD), which is widely used to measure the similarity between two distributions, plays an important role in many applications. In this article, we address the KLD metric-learning task, which aims at learning the best KLD-type metric from the distributions of datasets.
Shuyi Ji +5 more
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