• MPT

  • Referenced in 94 articles [sw04732]
  • systems with persistent additive and polytopic uncertainties. Users can add custom constraints, such as polytopic...
  • DAKOTA

  • Referenced in 35 articles [sw05202]
  • Oriented Framework for Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, The Dakota (Design ... optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion ... mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement...
  • FRIL

  • Referenced in 34 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...
  • R-MAX

  • Referenced in 31 articles [sw02539]
  • formally justifies the “optimism under uncertainty” bias used in many RL algorithms...
  • ROOT

  • Referenced in 30 articles [sw06817]
  • including cost function selection, complexity control and uncertainty estimation. An example of such application...
  • POMDPS

  • Referenced in 29 articles [sw03055]
  • rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP...
  • FLINTSTONES

  • Referenced in 29 articles [sw17950]
  • wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing...
  • CORO

  • Referenced in 20 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...
  • LFR-toolbox

  • Referenced in 14 articles [sw04756]
  • toolbox for Matlab for building LFT-based uncertainty models and for LFT-based gain scheduling ... object definition supporting a large class of uncertainty descriptions: continuous- and discrete-time uncertain models ... regular and singular parametric expressions, more general uncertainty blocks (nonlinear, time-varying, etc.). By associating ... names to uncertainty blocks the reusability of generated LFT-representations and the user friendliness...
  • EVPI

  • Referenced in 17 articles [sw02644]
  • decisions have to be made under future uncertainty. There are a variety of methods ... random data process determining the uncertainty in the problem. This paper describes a parallel implementation...
  • HTCondor MW

  • Referenced in 22 articles [sw04425]
  • will handle all this variation and uncertainty in the opportunistic environment of HTCondor...
  • ALEA

  • Referenced in 15 articles [sw10167]
  • spectral methods and low-rank 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...
  • QUESO

  • Referenced in 15 articles [sw10555]
  • Parallel C++ Statistical Library ‘QUESO’: Quantification of Uncertainty for Estimation, Simulation and Optimization. QUESO ... programming constructs supporting research into the uncertainty quantification (UQ) of models and their predictions...
  • ValEncIA-IVP

  • Referenced in 19 articles [sw04846]
  • applications. If guaran- teed bounds for the uncertainties are known, interval meth...
  • SmartMobile

  • Referenced in 12 articles [sw10867]
  • arithmetic and does not take into account uncertainty in the input data. The program SmartMobile ... correct and measure the influence of data uncertainty. In this paper, we outline the main...
  • ProTDB

  • Referenced in 17 articles [sw13843]
  • structure, due to the possibility of uncertainty association at multiple granularities...
  • RACT

  • Referenced in 15 articles [sw06924]
  • synthesis of control systems affected by various uncertainty structures...
  • PITA

  • Referenced in 8 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...
  • BioBayes

  • Referenced in 10 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...