
bootlib
 Referenced in 408 articles
[sw40642]
 errors, confidence intervals, and other measures of uncertainty for a wide range of problems. This...

MPT
 Referenced in 221 articles
[sw04732]
 systems with persistent additive and polytopic uncertainties. Users can add custom constraints, such as polytopic...

Robust Control Toolbox
 Referenced in 151 articles
[sw07907]
 analyze the impact of plant model uncertainty on control system performance and identify worstcase...

DAKOTA
 Referenced in 74 articles
[sw05202]
 Oriented Framework for Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, The Dakota (Design ... optimization with gradient and nongradientbased methods; uncertainty quantification with sampling, reliability, and stochastic expansion ... mixed integer nonlinear programming, or optimization under uncertainty. By employing objectoriented design to implement...

AKMCS
 Referenced in 60 articles
[sw18303]
 Kriging has just started to appear in uncertainty propagation [3] and reliability and studies ... exact interpolation and a local index of uncertainty on the prediction which can be used...

refund
 Referenced in 55 articles
[sw07434]
 obtaining correct curve estimates by accounting for uncertainty in FPC decompositions. Additionally, pointwise and simultaneous ... bootstrap procedure is implemented to understand the uncertainty in principal component decomposition quantities. Our method...

ALEA
 Referenced in 53 articles
[sw10167]
 spectral methods and lowrank approximations in uncertainty quantification. ALEA is intended as a research ... framework for numerical methods in Uncertainty Quantification (UQ). Its emphasis lies on: generalised polynomial chaos...

FLINTSTONES
 Referenced in 63 articles
[sw17950]
 widespread methodologies to deal with uncertainty in realworld decision making problems, the computing...

FRIL
 Referenced in 44 articles
[sw18490]
 Artificial Intelligence. Presents a theory of uncertainty, consistent with and combining the theories of probability ... inference to permit the inclusion of uncertainties such as probabilistic knowledge and fuzzy incompleteness. Describes...

UQLab
 Referenced in 34 articles
[sw19740]
 UQLab: The Framework for Uncertainty Quantification. UQLab is a Matlabbased software framework designed ... bring stateofthe art uncertainty quantification (UQ) techniques and algorithms to a large audience ... founded the Chair of Risk, Safety and Uncertainty Quantification at ETH Zurich, and decided ... scientific community regarding the fundamental aspects of uncertainty quantification. The first closed beta version...

LFRtoolbox
 Referenced in 27 articles
[sw04756]
 toolbox for Matlab for building LFTbased uncertainty models and for LFTbased gain scheduling ... object definition supporting a large class of uncertainty descriptions: continuous and discretetime uncertain models ... regular and singular parametric expressions, more general uncertainty blocks (nonlinear, timevarying, etc.). By associating ... names to uncertainty blocks the reusability of generated LFTrepresentations and the user friendliness...

CreditRisk+
 Referenced in 44 articles
[sw31697]
 default rates in order to capture the uncertainty in the level of default rates. Often...

BLOG
 Referenced in 41 articles
[sw22025]
 over worlds with unknown objects and identity uncertainty. BLOG unifies and extends several existing approaches...

boost
 Referenced in 40 articles
[sw35655]
 serve as a quantification of the predictive uncertainty. A very promising solution is to combine...

POMDPS
 Referenced in 38 articles
[sw03055]
 rich framework for sequential decisionmaking under uncertainty in stochastic domains. However, solving a POMDP...

BioBayes
 Referenced in 25 articles
[sw08082]
 biology. MOTIVATION: There are several levels of uncertainty involved in the mathematical modelling of biochemical ... There often may be a degree of uncertainty about the values of kinetic parameters, about...

PITA
 Referenced in 20 articles
[sw06950]
 tabling and answer subsumption for reasoning under uncertainty. Many real world domains require the representation ... measure of uncertainty. The most common such representation is probability, and the combination of probability ... logic programs adopt a simpler metric of uncertainty than probability.par Each of these approaches  general ... different domains depending on the form of uncertainty to be represented, on the form...

CORO
 Referenced in 24 articles
[sw02197]
 supply, transformation and distribution optimization under uncertainty. The authors present a modeling framework ... Transformation and Distribution (STD) scheduling problem under uncertainty on the product demand, spot supply cost...

RMAX
 Referenced in 32 articles
[sw02539]
 formally justifies the “optimism under uncertainty” bias used in many RL algorithms...