
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...

OKVARBoost
 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 treebased ensemble method for estimation of conditional quantiles. It is particularly...

Pyret
 Referenced in 1 article
[sw32695]
 resampling), computing spiketriggered averages and ensembles, estimating linearnonlinear cascade models to predict neural...

TOPAZ4
 Referenced in 2 articles
[sw23460]
 ensemble Kalman filter. This means that TOPAZ features a timeevolving, statedependent 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 sealevel remains fairly constant ... indicates that the ensemble statistics provide reliable statedependent error estimates – a feature that...

EnKFMC
 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 ... /s11634019003649>) 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 allagainstall comparison of the models from the ensemble...

ESKNN
 Referenced in 1 article
[sw26841]
 Ensemble of Subset of KNearest Neighbours Classifiers for Classification and Class Membership Probability Estimation ... Functions for classification and group membership probability estimation are given. The issue of noninformative ... 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 TwoSample 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 kerneldensityestimate proposal density, allowing...

SurvELM
 Referenced in 0 articles
[sw28066]
 namely, ELM with BuckleyJames estimator(ELMBJ) and its ensemble (ELMBJEN), ELM with penalized...

nodeHarvest
 Referenced in 1 article
[sw33154]
 harvest is a simple interpretable treelike estimator for highdimensional 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 metaaligner 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 MetropolisHastings 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, ensemblebased classifier, and a novel, compact...