• QCWAVE

  • Referenced in 6 articles [sw06830]
  • some of the processors, with an ensemble average used to represent the real world situation...
  • iNA

  • Referenced in 4 articles [sw17973]
  • huge amounts of ensemble averaging required for obtaining accurate statistical information. The former...
  • DS2G

  • Referenced in 3 articles [sw21766]
  • permanently unsteady flow (with or without ensemble averaging) or for a time averaged steady flow...
  • DelEnsembleElec

  • Referenced in 1 article [sw21782]
  • DelEnsembleElec: computing ensemble-averaged electrostatics using DelPhi. A new VMD plugin that interfaces with DelPhi ... provide ensemble-averaged electrostatic calculations using the Poisson-Boltzmann equation is presented. The general theory ... current biological interest, obtaining the ensemble-averaged electrostatic properties of the two major influenza virus ... dynamics trajectories. The differences between the ensemble-averaged electrostatics and those obtained from a single...
  • ensembleBMA

  • Referenced in 4 articles [sw21377]
  • package ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging. Bayesian Model Averaging to create...
  • Pyret

  • Referenced in 1 article [sw32695]
  • stimuli (e.g. resampling), computing spike-triggered averages and ensembles, estimating linear-nonlinear cascade models...
  • RadFil

  • Referenced in 1 article [sw26491]
  • entire ensemble of radial cuts or an average radial profile for the filament. Users...
  • SoilGrids250m

  • Referenced in 2 articles [sw27798]
  • fold cross-validation show that the ensemble models explain between 56% (coarse fragments ... variation with an overall average of 61%. Improvements in the relative accuracy considering the amount...
  • BART-BMA

  • Referenced in 2 articles [sw23498]
  • Bayesian additive regression trees using Bayesian model averaging. Bayesian Additive Regression Trees (BART ... Bayesian version of machine learning tree ensemble methods where the individual trees are the base ... called BART-BMA, which uses Bayesian model averaging and a greedy search algorithm to obtain...
  • PBoostGA

  • Referenced in 3 articles [sw17431]
  • instance. According to the weight updating and ensemble member generating mechanism like AdaBoost.RT, a series ... ordered in the light of the average importance measure and some significant variables are then...
  • AdELL

  • Referenced in 1 article [sw23692]
  • calculations, outperforming the state-of-the-art ensemble framework clSpMV. We could observe speedup peaks ... geometric) average improvement, which can be potentially increased to 43% introducing a simple 1x2 blocking...
  • RCMIP5

  • Referenced in 0 articles [sw16145]
  • missing data, (iii) average (or apply other mathematical operations) across experimental ensembles, (iv) produce both...
  • DNdisorder

  • Referenced in 2 articles [sw16907]
  • protein disorder. The method uses boosted ensembles of deep networks to make predictions and participated ... proteins, the method achieved an average balanced accuracy of 0.82 and an area under...
  • nodeHarvest

  • Referenced in 1 article [sw33154]
  • nodes are selected from an initially large ensemble of nodes, each associated with a positive ... several nodes and predictions are the weighted average response across all these groups. The package...
  • MitProt-Pred

  • Referenced in 1 article [sw25198]
  • falciparum parasite using diverse physiochemical properties and ensemble classification. Mitochondrial protein of Plasmodium falciparum ... developed that utilizes Bi-profile Bayes, Pseudo Average Chemical Shift, Split Amino Acid Composition ... learned and exploited through SVM based ensemble. MitProt-Pred achieved significantly improved prediction performance...
  • overlap

  • Referenced in 1 article [sw34699]
  • novel Bayesian framework to estimate population average causal effects with minor model dependence and appropriately ... data support in each region. Tree ensembles are used to nonparametrically estimate individual causal effects...
  • IPSILON

  • Referenced in 1 article [sw21606]
  • method, is then employed to identify associative ensembles of visual elements, which lay the foundation ... schemes that do not rely on average distortion criteria, a methodology that is a departure...
  • emba

  • Referenced in 1 article [sw35159]
  • Model Biomarker Analysis.Analysis and visualization of an ensemble of boolean models for biomarker discovery ... gold standard synergies and find the average activity difference per network node between all model...
  • ASTA

  • Referenced in 16 articles [sw00051]
  • ASTA is a tool for research in predictions...
  • LANCELOT

  • Referenced in 297 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...