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Cross-Entropy Minimization Model
2013Cross-entropy is used to characterize the divergence between two fuzzy variables. Within the framework of credibility theory, Li and Liu defined the cross-entropy for fuzzy variable by using credibility function, and proposed a fuzzy cross-entropy minimization principle, which tells us that out of all credibility functions satisfying given moment ...
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Decoding via cross-entropy minimization
Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference, 2002An intuitive algorithm by Lodge et al. [1992] for iterative decoding of block codes is shown to follow from entropy optimization principles. This approach provides a novel and effective algorithm for the soft-decoding of block codes which have a product structure. >
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Time-adaptive cross entropy planning
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016We propose Time-Adaptive Cross Entropy Planning (Tace) to increase flexibility of online planning agents in continuous state, action and time domains with infinite state-action spaces and branching factors. Tace reduces simulation effort of planning with cross entropy optimization by maintaining and adapting a probability distribution over the optimal ...
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On minimum cross-entropy thresholding
Pattern Recognition, 1996Over last few years several papers have been written on entropy-based thresholding. Some of these methods use the gray-level histogram, while others use entropy associated with the two-dimensional histogram or the co-occurrence matrix. Recently, Li and Lee proposed a thresholding scheme that is aimed to minimize the cross entropy.
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Prototype Softmax Cross Entropy: A New Perspective on Softmax Cross Entropy
2023Qendrim Bytyqi +3 more
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Minimum cross-entropy spectral analysis
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981The principle of minimum cross-entropy (minimum directed divergence, minimum discrimination information, minimum relative entropy) is summarized, discussed, and applied to the classical problem of estimating power spectra given values of the autocorrelation function.
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Credibilistic Cross-Entropy Minimization Model
2016Kapur and Kesavan (1992) respectively proposed an entropy maximization model and a cross-entropy minimization model for portfolio optimization. The objective of the first model is to maximize the uncertainty of the random investment return and the second one is to minimize the divergence of the random investment return from a priori one.
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Cross-entropy Histogram Equalization
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014Mehdi Roopaei +3 more
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A review on the dynamic-mechanical behaviors of high-entropy alloys
Progress in Materials Science, 2023Bin Xiao
exaly
Irreversible entropy production: From classical to quantum
Reviews of Modern Physics, 2021Gabriel T Landi, Mauro Paternostro
exaly