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  • EMVS
  • Referenced in 40 articles [sw31733]
  • package EMVS: The Expectation-Maximization Approach to Bayesian Variable Selection. An efficient expectation-maximization algorithm...

  • N-way Toolbox
  • Referenced in 30 articles [sw12996]
  • Fitting models with missing values (using expectation maximization); Fitting models with a weighted least squares...

  • hsmm
  • Referenced in 19 articles [sw00419]
  • hidden semi-Markov models. The implemented Expectation Maximization algorithm assumes that the time spent...

  • bivpois
  • Referenced in 19 articles [sw20812]
  • inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented. Inflated models allow...

  • RegEM
  • Referenced in 18 articles [sw04943]
  • RegEM: Regularized Expectation Maximization The modules implement the regularized EM algorithm described in T. Schneider...

  • MultiLCIRT
  • Referenced in 14 articles [sw11284]
  • parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights...

  • DENCLUE
  • Referenced in 12 articles [sw28734]
  • special case of the expectation maximization algorithm. We show experimentally that the new procedure needs...

  • XLNet
  • Referenced in 19 articles [sw31118]
  • enables learning bidirectional contexts by maximizing the expected likelihood over all permutations of the factorization...

  • BayesLCA
  • Referenced in 10 articles [sw16118]
  • model are provided, incorporating an expectation-maximization algorithm, Gibbs sampling and a variational Bayes approximation...

  • GAKREM
  • Referenced in 10 articles [sw02712]
  • Genetic Algorithm K-means Logarithmic Regression Expectation Maximization) that combines the best characteristics...

  • ContaminatedMixt
  • Referenced in 16 articles [sw21014]
  • also implemented to introduce parsimony. The expectation-conditional maximization algorithm is adopted to obtain maximum...

  • PhyME
  • Referenced in 9 articles [sw35645]
  • tree. It is based on the Expectation-Maximization technique, and scales well with the number...

  • CDNA
  • Referenced in 9 articles [sw37103]
  • combining tree are learned using EM (Expectation Maximization). Our focus in Significantly lower entropy estimates...

  • Probalign
  • Referenced in 7 articles [sw24613]
  • partition function posterior probabilities. MOTIVATION: The maximum expected accuracy optimization criterion for multiple sequence alignment ... first time to construct maximal expected accuracy sequence alignments. RESULTS: We bridge the two techniques...

  • D-STEM
  • Referenced in 7 articles [sw16413]
  • Model estimation is based on the expectation maximization algorithm and it can be performed using...

  • GeneScout
  • Referenced in 7 articles [sw31815]
  • proposed system is trained using an expectation-maximization algorithm and its performance on vertebrate gene...

  • MitISEM
  • Referenced in 4 articles [sw23111]
  • Distributions using Importance Sampling and Expectation Maximization. Flexible multivariate function approximation using adapted Mixture ... obtained using Importance Sampling weighted Expectation Maximization algorithm...

  • joineRML
  • Referenced in 6 articles [sw19419]
  • estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical...

  • EMMIXcskew
  • Referenced in 6 articles [sw16159]
  • CFUST distribution. In this paper, an Expectation-Maximization (EM) algorithm is described for computing...