• # RM-MEDA

• Referenced in 38 articles [sw08554]
• Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. Under mild conditions, it can be induced ... regularity model-based multiobjective estimation of distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems...
• # FastSLAM

• Referenced in 63 articles [sw13538]
• presents FastSLAM, an algorithm that recursively estimates the full posterior distribution over robot pose ... number of landmarks in the map. This algorithm is based on an exact factorization...
• # copula

• Referenced in 172 articles [sw14499]
• some more copula families. Methods for density, distribution, random number generation, bivariate dependence measures, perspective ... contour plots. Fitting copula models including variance estimates. Independence and serial (univariate and multivariate) independence ... nacopula’ for nested Archimedean copulas: Efficient sampling algorithms, various estimators, goodness-of-fit tests...
• # MOPED

• Referenced in 12 articles [sw02388]
• optimization tool based on an estimation of distribution algorithm is proposed. The algorithm uses ... dominated sorting genetic algorithm-II and the Parzen estimator to approximate the probability density...
• # STABLE

• Referenced in 110 articles [sw04843]
• Numerical calculation of stable densities and distribution functions”, J. P. Nolan, Commun. Statist.-Stochastic Models ... algorithm to generate stable random variates. It also performs maximum likelihood estimation of stable parameters...
• # MONEDA

• Referenced in 5 articles [sw19793]
• with a neural network-based estimation of distribution algorithm. The extension of estimation of distribution ... multi-objective optimization evolutionary algorithms. Adapting the model-building algorithm is one way to achieve ... novel algorithm intended to overcome the drawbacks of current MOEDAs. This new algorithm ... multi-objective neural estimation of distribution algorithm (MONEDA). MONEDA uses a modified growing neural...
• # MultiNest

• Referenced in 50 articles [sw10481]
• with an associated error estimate, and produces posterior samples from distributions that may contain multiple ... robustness, as compared to the original algorithm presented in Feroz & Hobson, which itself significantly outperformed...
• # MATEDA

• Referenced in 5 articles [sw07769]
• Matlab toolbox for Estimation of Distribution Algorithms (MATEDA-2.0). The package allows the optimization ... multi-objective problems with estimation of distribution algorithms (EDAs) based on undirected graphical models...
• # ELISA

• Referenced in 9 articles [sw02195]
• algorithm called ELISA (Estimated Load Information Scheduling Algorithm) for general purpose distributed computing systems. ELISA ... load scheduling. The primary objective of the algorithm is to cut down on the communication ... resulting algorithm performs almost as well as a perfect information algorithm and is superior ... other algorithms. This makes ELISA a viable and implementable load balancing algorithm...
• # copulaedas

• Referenced in 3 articles [sw10934]
• package copulaedas: Estimation of Distribution Algorithms Based on Copulas. This package provides a platform where ... Estimation of Distribution Algorithms (EDAs) based on copulas can be implemented and studied. It contains...
• # tlmec

• Referenced in 15 articles [sw11119]
• distribution. An ECM algorithm is developed for computing the maximum likelihood estimates for NLMEC/LMEC with ... likelihood value as a by-product. The algorithm uses closed-form expressions ... variance of a truncated multivariate-t distribution. The proposed algorithm is implemented...
• # PROC NLMIXED

• Referenced in 70 articles [sw11039]
• form (normal, binomial, Poisson) or a general distribution that you code using SAS programming statements ... quasi-Newton algorithm. Successful convergence of the optimization problem results in parameter estimates along with...
• # perm_mateda

• Referenced in 1 article [sw27196]
• mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems ... metaheuristic algorithms, new advances on estimation of distribution algorithms (EDAs) have shown outstanding performance when ... Matlab package, perm_mateda, of estimation of distribution algorithms on permutation problems, which has been...
• # bsa

• Referenced in 5 articles [sw26370]
• consider the problem of estimating an unknown distribution function in the presence of censoring under ... prior on is a mixture of Dirichlet distributions. A hyperparameter of the prior determines ... family. A Gibbs sampling algorithm to estimate the posterior distributions of the parameters of interest...
• # CensMixReg

• Referenced in 12 articles [sw21090]
• finite mixtures of multivariate Student-$t$ distributions. This approach allows us to model data with ... efficient, EM-type algorithm for conducting maximum likelihood estimation of the parameters. The algorithm ... variance of the multivariate truncated Student-$t$ distributions. Further, a general information-based method ... approximating the asymptotic covariance matrix of the estimators is also presented. Results obtained from...