• EnKF

  • Referenced in 333 articles [sw02066]
  • error statistics of the model estimate, it applies ensemble integrations to predict the error statistics...
  • HyperLogLog

  • Referenced in 19 articles [sw02063]
  • estimating the number of distinct elements (the cardinality) of very large data ensembles. Using ... pass over the data and produces an estimate of the cardinality such that the relative...
  • BayesTree

  • Referenced in 57 articles [sw07995]
  • dimensionally adaptive random basis elements. Motivated by ensemble methods in general, and boosting algorithms ... full posterior inference including point and interval estimates of the unknown regression function as well...
  • OKVAR-Boost

  • Referenced in 3 articles [sw24063]
  • such models. The empirical estimation of the ensemble model’s Jacobian matrix provides an estimation...
  • Quantregforest

  • Referenced in 4 articles [sw14249]
  • Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly...
  • Pyret

  • Referenced in 1 article [sw32695]
  • resampling), computing spike-triggered averages and ensembles, estimating linear-nonlinear cascade models to predict neural...
  • TOPAZ4

  • Referenced in 2 articles [sw23460]
  • ensemble Kalman filter. This means that TOPAZ features a time-evolving, state-dependent estimate ... demonstrate that TOPAZ4 produces a realistic estimate of the ocean circulation in the North Atlantic ... Arctic. We find that the ensemble spread for temperature and sea-level remains fairly constant ... indicates that the ensemble statistics provide reliable state-dependent error estimates – a feature that...
  • EnKF-MC

  • Referenced in 2 articles [sw15209]
  • Covariance Matrix Estimation. This paper develops an efficient implementation of the ensemble Kalman filter based ... conditionally independent. This allows to obtain sparse estimators of the inverse background error covariance matrix ... proof of convergence with regard to the ensemble size is presented. In order to assess ... compared against those obtained using the local ensemble transform Kalman filter (LETKF). Tests are performed...
  • OTE

  • Referenced in 1 article [sw33152]
  • Classification and Class Membership Probability Estimation. Functions for creating ensembles of optimal trees for regression ... /s11634-019-00364-9>) and class membership probability estimation (Khan, Z, Gul, A, Mahmoud, O, Miftahuddin, M, Perperoglou ... trees grown by random forest for the ensemble on the basis of their individual ... classification are given. The prediction functions return estimates of the test responses and their class...
  • QMEAN

  • Referenced in 7 articles [sw17377]
  • estimate based on a weighted all-against-all comparison of the models from the ensemble...
  • ESKNN

  • Referenced in 1 article [sw26841]
  • Ensemble of Subset of K-Nearest Neighbours Classifiers for Classification and Class Membership Probability Estimation ... Functions for classification and group membership probability estimation are given. The issue of non-informative ... data is addressed by utilizing the ensemble method. A few optimal models are selected ... ensemble in the training function. The prediction functions for classification and class membership probability estimation...
  • FastMMD

  • Referenced in 3 articles [sw31729]
  • FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test. The maximum mean discrepancy ... biased estimates. We also provide a geometric explanation for our method, ensemble of circular discrepancy...
  • RPEnsemble

  • Referenced in 2 articles [sw16698]
  • classification. http://arxiv.org/abs/1504.04595”. The random projection ensemble classifier is a general method for classification ... smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates...
  • RadFil

  • Referenced in 1 article [sw26491]
  • background subtraction estimator, which can be fit to the entire ensemble of radial cuts ... radial cut sampling interval, the background subtraction estimation radii, and the Gaussian/Plummer fitting radii...
  • kombine

  • Referenced in 1 article [sw26501]
  • kombine is an ensemble sampler that uses a clustered kernel-density-estimate proposal density, allowing...
  • SurvELM

  • Referenced in 0 articles [sw28066]
  • namely, ELM with Buckley-James estimator(ELMBJ) and its ensemble (ELMBJEN), ELM with penalized...
  • nodeHarvest

  • Referenced in 1 article [sw33154]
  • harvest is a simple interpretable tree-like estimator for high-dimensional regression and classification ... nodes are selected from an initially large ensemble of nodes, each associated with a positive ... groups. The package offers visualization of the estimator. Predictions can return the nodes...
  • Facet

  • Referenced in 1 article [sw24607]
  • computed alignment. A good accuracy estimator has broad utility, from building a meta-aligner that ... output of a collection of aligners (see Ensemble Alignment), to boosting the accuracy ... correcting them (see Adaptive Local Realignment). To estimate accuracy of a computed multiple sequence alignment...
  • CosmoHammer

  • Referenced in 1 article [sw21685]
  • MCMC methods are widely used for the estimation of cosmological parameters from a given ... affine invariant ensemble sampler by Goodman and Weare (2010). We test the performance of CosmoHammer ... cosmological parameter estimation from cosmic microwave background data. While Metropolis-Hastings is dominated by overheads...
  • PFRES

  • Referenced in 6 articles [sw26875]
  • number of protein families has been estimated to be as small as 1000. Recent study ... methods. Our method adopts a carefully designed, ensemble-based classifier, and a novel, compact...