• EnKF

  • Referenced in 362 articles [sw02066]
  • EnKF-The Ensemble Kalman Filter The EnKF is a sophisticated sequental data assimilation method ... applies an ensemble of model states to represent the error statistics of the model estimate ... applies ensemble integrations to predict the error statistics forward in time, and it uses ... analysis scheme which operates directly on the ensemble of model states when observations are assimilated...
  • BayesTree

  • Referenced in 59 articles [sw07995]
  • dimensionally adaptive random basis elements. Motivated by ensemble methods in general, and boosting algorithms...
  • LAMMPS

  • Referenced in 56 articles [sw05952]
  • molecular dynamics code. LAMMPS can model an ensemble of particles in a liquid, solid...
  • pSuc-Lys

  • Referenced in 31 articles [sw16643]
  • succinylation sites in proteins with PseAAC and ensemble random forest approach. Being one type ... random sampling, and (3) constructing an ensemble predictor by fusing a series of individual random...
  • Euk-mPLoc

  • Referenced in 42 articles [sw26860]
  • overcome such a barrier, a new ensemble classifier, named Euk-mPLoc, was developed that...
  • emcee

  • Referenced in 30 articles [sw20217]
  • tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC ... Exploiting the parallelism of the ensemble method, emcee permits any user to take advantage...
  • iRSpot-EL

  • Referenced in 29 articles [sw24776]
  • iRSpot-EL: identify recombination spots with an ensemble learning approach. MOTIVATION: Coexisting ... dinucleotide-based auto-cross covariance into an ensemble classifier of clustering approach. Five-fold cross...
  • Memtype-2L

  • Referenced in 39 articles [sw16472]
  • Score Matrix) vectors, and by containing an ensemble classifier formed by fusing many powerful individual...
  • Hum-PLoc

  • Referenced in 24 articles [sw26863]
  • PLoc: a novel ensemble classifier for predicting human protein subcellular localization. Predicting subcellular localization ... such a representation frame, a novel ensemble classifier, called ”Hum-PLoc”, was developed by fusing ... demonstration, tests were performed with the ensemble classifier for human proteins among the following...
  • iPPI-Esml

  • Referenced in 26 articles [sw22413]
  • iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical ... engine to run the predictor is an ensemble classifier formed by fusing seven individual random...
  • Hum-mPLoc

  • Referenced in 26 articles [sw26862]
  • mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples ... overcome such a barrier, a new ensemble classifier, named Hum-mPLoc, was developed that...
  • boost

  • Referenced in 36 articles [sw35655]
  • promising solution is to combine the two ensemble schemes bagging and boosting to a novel...
  • 2L-piRNA

  • Referenced in 25 articles [sw27667]
  • piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function. nvolved ... piRNA. It is a two-layer ensemble classifier, in which the first layer...
  • Chimera

  • Referenced in 34 articles [sw10908]
  • sequence alignments, docking results, trajectories, and conformational ensembles. High-quality images and animations...
  • Euk-PLoc

  • Referenced in 24 articles [sw22420]
  • PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction. With the avalanche ... Based on such a representation, a novel ensemble hybridization classifier was developed by fusing many...
  • SMOTEBoost

  • Referenced in 32 articles [sw12571]
  • diversity among the classifiers in the ensemble because at each iteration a different...
  • DPIV

  • Referenced in 29 articles [sw02599]
  • using hierarchical empirical eigenfunctions extracted from an ensemble of flow snapshots. We demonstrate that standard...
  • ranger

  • Referenced in 29 articles [sw14498]
  • random forests for high dimensional data. Ensembles of classification, regression and survival trees are supported...
  • iPTM-mLys

  • Referenced in 26 articles [sw23948]
  • basic random forest classifiers into an ensemble system. Rigorous cross-validations...
  • ALPS

  • Referenced in 24 articles [sw08907]
  • Carlo (QMC) using non-local updates, extended ensemble simulations, exact and full diagonalization...