
EnKF
 Referenced in 441 articles
[sw02066]
 used by Meteorological Centers. See the article ”Ensemble Kalman Filters Bring Weather Models ... start and spinup, and experienced users with optimized code which may increase the performence...

iPPBSOpt
 Referenced in 16 articles
[sw22428]
 SequenceBased Ensemble Classifier for Identifying ProteinProtein Binding Sites by Optimizing Imbalanced Training Datasets ... Samples (IHTS) treatments to optimize the training dataset; (2) the ensemble voting approach to select...

Memtype2L
 Referenced in 39 articles
[sw16472]
 containing an ensemble classifier formed by fusing many powerful individual OETKNN (Optimized EvidenceTheoretic...

ViennaRNA
 Referenced in 23 articles
[sw10504]
 Zuker & Stiegler 1981) which yields a single optimal structure, the partition function algorithm of (McCaskill ... calculates base pair probabilities in the thermodynamic ensemble, and the suboptimal folding algorithm of (Wuchty ... within a given energy range of the optimal energy. For secondary structure comparison, the package...

LCE
 Referenced in 5 articles
[sw25277]
 linkbased cluster ensemble method for improved gene expression data analysis. MOTIVATION ... another, this is often suboptimal. Cluster ensemble research solves this problem by automatically combining...

Signal3L
 Referenced in 16 articles
[sw26857]
 ensemble classifier formed by fusing many individual OETKNN (optimized evidencetheoretic K nearest neighbor...

HyperLogLog
 Referenced in 22 articles
[sw02063]
 extended abstract describes and analyses a nearoptimal probabilistic algorithm, HyperLogLog, dedicated to estimating ... elements (the cardinality) of very large data ensembles. Using an auxiliary memory of m units ... only 1.5 kilobytes. The algorithm parallelizes optimally and adapts to the sliding window model...

OTE
 Referenced in 1 article
[sw33152]
 package OTE: Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation. Functions ... creating ensembles of optimal trees for regression, classification (Khan, Z., Gul, A., Perperoglou, A., Miftahuddin ... trees grown by random forest for the ensemble on the basis of their individual...

ESKNN
 Referenced in 1 article
[sw26841]
 addressed by utilizing the ensemble method. A few optimal models are selected in the ensemble ... applied in selection of optimal models for the ensemble in the training function. The prediction...

DeepHyper
 Referenced in 6 articles
[sw41119]
 pipeline optimization for ML (DeepHyper/POPT); neural architecture search (DeepHyper/NAS); hyperparameter search (DeepHyper/HPS); ensemble uncertainty quantification...

h2oEnsemble
 Referenced in 1 article
[sw33570]
 version 3.0 and above). This type of ensemble learning is called ”super learning”, ”stacked regression ... stacking.” The Super Learner algorithm learns the optimal combination of the base learner fits ... shown that the super learner ensemble represents an asymptotically optimal system for learning...

PhaseMax
 Referenced in 28 articles
[sw24954]
 formulate phase retrieval as a convex optimization problem, which we call PhaseMax. Unlike other convex ... broad range of random measurement ensembles, and we analyze the impact of measurement noise...

OTclust
 Referenced in 1 article
[sw35615]
 Analysis. Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures...

AutoGL
 Referenced in 1 article
[sw38082]
 engineering, model training, hyperparameter optimization, and auto ensemble. For each module, we provide numerous...

CIXL2
 Referenced in 19 articles
[sw03302]
 used a set of functions to be optimized with regard to different criteria, such ... weight of each network in a ensemble of neural networks. The results obtained are above...

GposPLoc
 Referenced in 11 articles
[sw26870]
 discovery practice. In view of this, an ensemble classifier called ’GposPLoc’ was developed ... which was engineered according to the optimized evidencetheoretic Knearest neighbors rule...

Osprey
 Referenced in 3 articles
[sw21400]
 ensembles of lowenergy structures to better approximate binding affinity; and (3) a globally optimal ... search, guaranteeing that the computational predictions are optimal with respect to the input model. Here ... resistance mutations and explain why improved flexibility, ensembles, and provability are essential for this application...

GBMCI
 Referenced in 2 articles
[sw11476]
 boosting algorithm for survival analysis via direct optimization of concordance index. Survival analysis focuses ... hazard functions. Our nonparametric model utilizes an ensemble of regression trees to determine ... covariates. The ensemble model is trained using a gradient boosting method to optimize a smoothed...

PSPSO
 Referenced in 1 article
[sw39417]
 package for parameters selection using particle swarm optimization. This paper reports a highlevel python ... ensembles of machine learning algorithms parameters by using the particle swarm optimization (PSO) algorithm named...

PSOFuzzySVMTMH
 Referenced in 3 articles
[sw27664]
 identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine ... extraneous attributes are eradicated using an optimization selection technique, particle swarm optimization, from both feature ... spaces are combined in order to form ensemble feature space. Fuzzysupport vector Machine...