The cross-entropy (CE) method is a Monte Carlo method for importance sampling and optimization. It is applicable to both combinatorial and continuous...

In information theory, the cross-entropy between two probability distributions p {\displaystyle p} and q {\displaystyle q} , over the same underlying...

the Gibbsian method of statistical mechanics is sound by also arguing that the entropy of statistical mechanics and the information entropy of information...

2021. Rubinstein, Reuven Y.; Kroese, Dirk P. (9 March 2013). The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation...

Battiti, G. Tecchiolli (1994), recently reviewed in the reference book cross-entropy method by Rubinstein and Kroese (2004) random search by Anatoly Zhigljavsky...

In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members of...

optimization, river formation dynamics (see swarm intelligence), and the cross entropy method. This starts with a sub-tour such as the convex hull and then inserts...

The cross-entropy method (CE) generates candidate solutions via a parameterized probability distribution. The parameters are updated via cross-entropy minimization...

estimation, Monte Carlo methods and rare-event simulation. He is, with Reuven Rubinstein, a pioneer of the Cross-Entropy (CE) method. Born in Wapenveld (municipality...

statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel...

ACO-type algorithms are closely related to stochastic gradient descent, Cross-entropy method and estimation of distribution algorithm. They proposed an umbrella...

breakthrough methods, such as the score-function method, the stochastic counterpart method, and the cross-entropy method, which have numerous applications in combinatorial...

I.; Kroese, D.P. (2004). "Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models". Proceedings of the 2004...

2001, "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods", Economic Systems Research 13 (1), pp. 47–64. Stone, R. and Brown...

clustering Correspondence analysis Cortica Coupled pattern learner Cross-entropy method Cross-validation (statistics) Crossover (genetic algorithm) Cuckoo search...

algorithm Dancing Links: an efficient implementation of Algorithm X Cross-entropy method: a general Monte Carlo approach to combinatorial and continuous multi-extremal...

α Cross-correlation Cross-covariance Cross-entropy method Cross-sectional data Cross-sectional regression Cross-sectional study Cross-spectrum Cross tabulation...

conditional entropy conditional quantum entropy confusion and diffusion cross-entropy data compression entropic uncertainty (Hirchman uncertainty) entropy encoding...

all principal axes. Estimation of distribution algorithms and the Cross-Entropy Method are based on very similar ideas, but estimate (non-incrementally)...

(2012-10-12). "Solving the Multidimensional Assignment Problem by a Cross-Entropy method". Journal of Combinatorial Optimization. 27 (4): 808–823. doi:10...

In physics, the Tsallis entropy is a generalization of the standard Boltzmann–Gibbs entropy. It is proportional to the expectation of the q-logarithm...

computes averages of operators in many-body quantum mechanical problems Cross-entropy method — for multi-extremal optimization and importance sampling Also see...

(2020). "Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement". arXiv:2007.08140 [cs.LG]. "1.11. Ensemble methods". Wolpert (1992)...

y)\,} Despite similar notation, joint entropy should not be confused with cross-entropy. The conditional entropy or conditional uncertainty of X given...

implement the same methods for /dev/random and /dev/urandom. In older operating systems, /dev/random typically blocked if there was less entropy available than...

principle," in G. J. Erickson and C. R. Smith (eds.)Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol,.1: p. 267. Caratheodory, C....

less than 1:10−5. The Maximum entropy method is an analysis method that has great developmental potential. The method is also used for the quantification...

convergence Dependency Structure Matrix Genetic Algorithm (DSMGA) CMA-ES Cross-entropy method Ant colony optimization algorithms Pelikan, Martin (2005-02-21),...

Correlation entropy Approximate entropy Sample entropy Fourier entropy [uk] Wavelet entropy Dispersion entropy Fluctuation dispersion entropy Rényi entropy Higher-order...

probabilistic method for pipe network analysis has recently been developed, based on the maximum entropy method of Jaynes. In this method, a continuous...