Cross entropy method
The cross-entropy method for power system combinatorial optimization problems
... the cross-entropy method to the power system community by illustrating its application on problems for which one has to compute short-term production plans to generate electricity at minimal ...
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A Cross Entropy Algorithm for Classification with $\delta$−Patterns
... The cross entropy method brings a fast and simple procedure for estimating the optimal reference parameters in the importance ...Kullback-Leibler cross-entropy, to the probability ...
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Cross-entropy based rare-event simulation for the identification of dangerous events in power systems
... Index Terms— Power system security, identification of danger- ous events, cross-entropy method. I. I NTRODUCTION Blackouts in power systems are rare, but they have such tremendous societal ...
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Cross-entropy optimization of control policies with adaptive basis functions
... Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions Lucian Bu¸soniu, Damien Ernst, Member, IEEE, Bart De Schutter, Member, IEEE, and Robert Babuška Abstract—This paper introduces ...
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Policy search with cross-entropy optimization of basis functions
... with Cross-Entropy Optimization of Basis Functions Lucian Bus¸oniu, Damien Ernst, Bart De Schutter, and Robert Babuˇska Abstract— This paper introduces a novel algorithm for ap- proximate policy search in ...
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Neutron-induced cross sections of short-lived nuclei via the surrogate reaction method
... surrogate method for extracting neutron-induced capture cross ...Yb(n,γ) cross sections to study the 174 Yb( 3 He,p) 176 Lu* and 174 Yb ( 3 He, 4 He) 173 Yb surrogate ...
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Development of a Tool Design Method in Cross Wedge Rolling: Description and Applications
... Catalina GUTIERREZ, Philippe MANGIN, Laurent LANGLOIS, Régis BIGOT - Development of a Tool Design Method in Cross Wedge Rolling: Description and Applications - 2014. Any correspondence c[r] ...
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Maximum Entropy Production vs. Kolmogorov-Sinai Entropy in a Constrained ASEP Model
... Kolmogorov-Sinai entropy. We note that although the entropy production and the Kolmogorov-Sinai entropy have similar parabolic shape, they do not coincide exactly: the entropy production and ...
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Entropy-based Power Attack
... Fig. 8. First order success rate of 3 distinguishers on a ROM masked DES. 95% using 18,000 traces. MIA attack performs much worse. The success rates stay under 10% even when using 25,000 measurements. We conclude that ...
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Aperiodic Tilings and Entropy
... Aperiodic Tilings and Entropy Bruno Durand, Guilhem Gamard, Anaël Grandjean.. To cite this version:.[r] ...
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Entropy of chaotic eigenstates
... 1.2. Entropy as a measure of ...and entropy: a uniform lower bound on the measure of thin tubes implies a positive lower bound on the entropy of the ...KS entropy of a given invariant measure ...
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Entropy-based visual servoing
... As stated considering image intensity is quite sensitive to modification of the environment. To solve problems due to illumination changes or multi-modal servo, information contained in the images is considered and no ...
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An efficient domain decomposition method with cross-point treatment for Helmholtz problems
... decomposition method. The efficiency of this method strongly depends on the transmission condition enforced on the interfaces between the ...without cross points ...
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An efficient domain decomposition method with cross-point treatment for Helmholtz problems
... It is well-known that the convergence rate of these methods strongly depends on the transmission condition enforced on the interfaces between the subdomains. Local transmission conditions based on high-order absorbing ...
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Entropy Bounds on Bayesian Learning
... We present applications to merging theory and to the cost of learning in repeated decision problems. A natural notion of merging is to require that the agent’s expected av- erage prediction errors vanish as time goes ...
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Entropy in halide perovskites
... various entropy contributions (stochastic structural fluctuations, anharmonicity and lattice softness) on the optoelectronic properties of halide perovskite materials and ...
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Reconstruction of few-group homogenized cross section by kernel method and active learning
... Multi-linear interpolation in full grids have been commonly used in cross section representation [4]. Though reconstruction is simple and fast, large library sizes may be needed to reach the desired accuracy [5]. ...
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The entropy-based quantum metric
... which characterises the amount of quantum information lost by mixing ˆ D and ˆ D + d ˆ D. A rich geometric structure is thereby implemented in quantum mechanics. It includes a canonical mapping between the spaces of ...
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Maximizing Entropy over Markov Processes
... the entropy of all im- plementations of an Interval ...Maximum Entropy implementation might not ...nite entropy, or they may have arbitrarily high, ...finite entropy, so standard optimization ...
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Maximizing Entropy over Markov Processes
... the entropy of all im- plementations of an Interval ...Maximum Entropy implementation might not ...nite entropy, or they may have arbitrarily high, ...finite entropy, so standard optimization ...
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