• CMA-ES

  • Referenced in 100 articles [sw05063]
  • generated. In an evolution strategy, new candidate solutions are sampled according to a multivariate normal...
  • BioProspector

  • Referenced in 28 articles [sw09375]
  • program using a Gibbs sampling strategy, examines the upstream region of genes in the same...
  • SMOTE

  • Referenced in 123 articles [sw34239]
  • Naive Bayes. Our method of over-sampling the minority class involves creating synthetic minority class ... curve (AUC) and the ROC convex hull strategy...
  • MISO

  • Referenced in 5 articles [sw20541]
  • surrogate model framework and show how sampling strategies of well-known surrogate model algorithms ... algorithms that combine different sampling strategies and local search to obtain high-accuracy solutions ... MISO depends on the chosen sampling strategy. The MISO algorithm that combines a coordinate perturbation...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • package BayesLogit: PolyaGamma Sampling. Bayesian inference for logistic models using Pólya-Gamma latent variables ... propose a new data-augmentation strategy for fully Bayesian inference in models with binomial likelihoods...
  • MMG

  • Referenced in 4 articles [sw29328]
  • directed networks. We propose an efficient sampling strategy to infer posterior probabilities of differential expression...
  • GMAP

  • Referenced in 3 articles [sw17275]
  • underlying the program includes a minimal sampling strategy for genomic mapping, oligomer chaining for approximate...
  • ParEGO

  • Referenced in 52 articles [sw10968]
  • algorithms that use advanced initialization and search strategies to operate better under these conditions ... decision space, and tries to sample from the largest empty regions near `fit’ solutions...
  • MATSuMoTo

  • Referenced in 2 articles [sw20551]
  • mixtures, initial experimental design strategies, and sampling strategies. MATSuMoTo is able to do several function...
  • DAKOTA

  • Referenced in 64 articles [sw05202]
  • nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with ... their own or as components within advanced strategies such as surrogate-based optimization, mixed integer...
  • LOOPER

  • Referenced in 1 article [sw17376]
  • LOOPER adopts a systematic search strategy with minimal sampling of the backbone torsion angles. During ... widely used Ramachandra plot. The efficient sampling strategy is combined with energy minimization at each ... scoring function. The systematic and efficient sampling strategy in LOOPER consistently finds near native loop...
  • Venture

  • Referenced in 8 articles [sw14670]
  • implement general-purpose inference strategies such as Metropolis-Hastings, Gibbs sampling, and blocked proposals based...
  • MRESVM

  • Referenced in 1 article [sw23457]
  • cluster of computers. A balanced sampling strategy for bootstrapping is introduced to increase the classification...
  • DECIS

  • Referenced in 4 articles [sw21978]
  • advanced Monte Carlo sampling techniques. DECIS includes a variety of solution strategies, such as solving...
  • utiml

  • Referenced in 2 articles [sw27783]
  • Multi-Label Learning. Multi-label learning strategies and others procedures to support multi- label classification ... multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques...
  • NAPSAC

  • Referenced in 4 articles [sw28051]
  • exponentially decreasing probability of sampling a set that is composed entirely of inliers. In order ... random, a new strategy is proposed that alters the way samples are taken, under...
  • LemkeHowson

  • Referenced in 1 article [sw22505]
  • Exchange, 2013. This function computes a sample mixed strategy Nash equilibrium in a bimatrix game...
  • CARrampsOcl

  • Referenced in 1 article [sw22935]
  • OpenCL acceleration A new computational strategy produces independent samples from the joint posterior distribution ... single CPU, and the numbers of effective samples per second are orders of magnitude higher ... This work provides both a practical computing strategy for fitting a popular class of Bayesian ... concept that GPU acceleration can make independent sampling from Bayesian joint posterior densities feasible...
  • PhyloBayes MPI

  • Referenced in 2 articles [sw23042]
  • combination of two algorithmic strategies: a partial Gibbs sampling update of the tree topology...
  • HybridMC

  • Referenced in 3 articles [sw11204]
  • Hybrid Monte Carlo sampling techniques described in Liu (2001): ”Monte Carlo Strategies in Computing...