
DREAM
 Referenced in 9 articles
[sw24746]
 system models with data, including prediction in space (interpolation), prediction in time (forecasting), assimilation ... model output, and inference of the model parameters. Bayes theorem states that the posterior probability ... models the posterior distribution is often high dimensional and analytically intractable, and sampling methods ... involving (among others) bimodality, highdimensionality, summary statistics, bounded parameter spaces, dynamic simulation models, formal/informal...

DatabionicSwarm
 Referenced in 2 articles
[sw39852]
 adapt itself to structures of highdimensional data such as natural clusters characterized by distance ... structures in the data space. The first module is the parameterfree projection method called ... second module is the parameterfree highdimensional data visualization technique, which generates projected points...

acebayes
 Referenced in 12 articles
[sw20243]
 typically intractable and the design space may be highdimensional. The package implements the approximate ... utility via a sequence of conditional onedimensional optimisation steps. At each step, a Gaussian ... designs are found for the goals of parameter estimation, model selection and prediction...

PyDREAM
 Referenced in 1 article
[sw34672]
 slow or premature convergence in highdimensional search spaces. Here, we present PyDREAM, a Python ... PyDREAM achieves excellent performance for complex, parameterrich models and takes full advantage of distributed...

SparseFIS
 Referenced in 11 articles
[sw13736]
 clustering process in the input/output feature space with iterative vector quantization and projects the obtained ... third phase estimates the linear consequent parameters by a regularized sparsityconstrainedoptimization procedure ... applied in order to force linear parameters to be 0, triggering a featureselection mechanism ... evaluated, which is based on highdimensional data from industrial processes and based on benchmark...

SimEnv
 Referenced in 0 articles
[sw19587]
 dimensional output in highdimensional model factor (parameter / initial values) spaces. Interfacing models...

LargeVis
 Referenced in 6 articles
[sw34905]
 layouts the graph in the lowdimensional space. Comparing to tSNE, LargeVis significantly reduces ... thus easily scales to millions of highdimensional data points. Experimental results on realworld ... both efficiency and effectiveness. The hyperparameters of LargeVis are also much more stable over...

MOVI
 Referenced in 4 articles
[sw08104]
 engineering optimization problems, a method called Parameter Space Investigation (PSI method) has been created ... science, and technology (e.g., design of the space shuttle, nuclear reactor, missile, automobile, ship ... great importance while solving highdimensional multiparameter and multicriteria problems. The PSI method is implemented...

flm
 Referenced in 3 articles
[sw28185]
 Simultaneous variable selection and smoothing for highdimensional functiononscalar regression. We present ... separable Hilbert space. To select important predictors while also producing smooth parameter estimates, we utilize...

Slycat
 Referenced in 1 article
[sw24798]
 variables, in a shared highdimensional space describing a particular problem domain. Ensemble analysis looks ... that describe aspects of the underlying problem space. Sensitivity analysis is a type of ensemble ... that evaluates how changes in simulation input parameters correlate with simulation results. Commonly, simple regression...

DDMOA2
 Referenced in 1 article
[sw11882]
 well as the set of strategy parameters. The main novelty and the primary strength ... increase the search pressure in highdimensional objective space, we impose an additional condition...

GigaMesh
 Referenced in 1 article
[sw06599]
 highdimensional feature spaces. Convolutions and combined metrics are applied to the feature spaces ... invariants are investigated. Understanding these properties is highly relevant for robust curvature measures and segmentation ... pipeline. The pipeline has only one relevant parameter, which is the maximum size...

Diffpack
 Referenced in 115 articles
[sw00203]
 As modern programming methodologies migrate from computer science...

LAPACK
 Referenced in 1695 articles
[sw00503]
 LAPACK is written in Fortran 90 and provides...

LSQR
 Referenced in 394 articles
[sw00530]
 Algorithm 583: LSQR: Sparse Linear Equations and Least...

Maple
 Referenced in 5363 articles
[sw00545]
 The result of over 30 years of cutting...

MapReduce
 Referenced in 262 articles
[sw00546]
 MapReduce is a new parallel programming model initially...

Matlab
 Referenced in 13460 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

mclust
 Referenced in 304 articles
[sw00563]
 R package mclust: Normal Mixture Modeling for Model...