• Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • recognition, clustering, time-series prediction, and dynamic system modeling and control. To speed up training ... handle large data sets, you can distribute computations and data across multicore processors, GPUs...
  • PnPMPC

  • Referenced in 5 articles [sw12119]
  • Play (PnP) decentralized and distributed Model Predictive Control (MPC) and PnP state estimation. The PnPMPC...
  • dMPC

  • Referenced in 2 articles [sw35809]
  • Distributed model predictive control strategies for coordination of electro-thermal devices in a cooperative energy ... with a distributed and hierarchical-distributed model predictive control strategies, which are compared with continuous ... source optimization framework, which automatically manages optimization control, integration of renewable generation and load forecasts ... combines the advantages of rescheduling and a distributed MPC stratgy. The method applies a dynamic...
  • GET

  • Referenced in 21 articles [sw35164]
  • alpha. Global means that the probability is controlled simultaneously for all the d elements ... functional general linear model, n-sample test of correspondence of distribution functions), for central regions ... functional boxplot) and for global confidence and prediction bands (e.g. confidence band in polynomial regression...
  • NMPC

  • Referenced in 2 articles [sw06445]
  • implement low-dimensional parameterized Nonlinear Model Predictive Control (NMPC) schemes for systems showing fast dynamics ... proposed scheme is based on distributing the reconstruction of the cost function over the real...
  • ROCKET

  • Referenced in 13 articles [sw30016]
  • distributions. The result hinges on a tight control of the sparse spectral norm ... Empirically, ROCKET outperforms the nonparanormal and Gaussian models in terms of achieving accurate inference ... behavior across subsamples agrees with the distribution predicted by the theory...
  • SVR-AMA

  • Referenced in 1 article [sw29521]
  • asynchronous dual solver suitable for model predictive control (MPC) applications. The proposed solver relies ... length of the prediction horizon. Numerical results on the longitudinal control problem of an Airbus ... proposed solver with an adaptive probability distribution...
  • DiSMEC

  • Referenced in 4 articles [sw30154]
  • coupled with explicit capacity control to control model size. Unlike most state ... explicit capacity control mechanism filters out spurious parameters which keep the model compact in size ... without losing prediction accuracy. We conduct extensive empirical evaluation on publicly available real-world datasets...
  • Tokamak

  • Referenced in 2 articles [sw06565]
  • library is designed to predict, support, and interpret experiments as well as handle measurements ... energy production on the basis of controlled thermonuclear fusion. The library software consists ... tokamak plasma, its structural elements, diagnostics and control system. This is a specific implementation ... approaches of distributed computations in the field of the mathematical modeling of plasma. The Virtual...
  • KnockoffGAN

  • Referenced in 4 articles [sw42243]
  • task (such as to avoid overfitting in prediction) as it can be for understanding ... need a principled methodology capable of controlling the False Discovery Rate. In this work ... framework by developing a flexible knockoff generation model. We adapt the Generative Adversarial Networks framework ... knockoffs with no assumptions on the feature distribution. Our model consists of 4 networks...
  • Orange3-Conformal

  • Referenced in 1 article [sw40287]
  • supervised machine learning models. Instead of a point value, conformal prediction defines an outcome region ... data are independently and identically distributed, the user can control the level of the prediction...
  • BART-BMA

  • Referenced in 5 articles [sw23498]
  • implementation does not produce probabilistic estimates or predictions. We propose an alternative fitting algorithm ... Bayesian model averaging and a greedy search algorithm to obtain a posterior distribution more efficiently ... BART and random forests to offer a model-based algorithm which can deal with high ... distinguish between patients with cardiovascular disease and controls and another to classify aggressive from...
  • BCBCSF

  • Referenced in 1 article [sw07436]
  • feature selection procedure will result in overconfident predictive probabilities for future cases, because the signal ... unbiased) posterior distribution of certain hyperparameters in the hierarchical Bayesian model that control the signal ... inferring the model parameters. We then use MCMC samples to make predictions for future cases...
  • DCMOGADES

  • Referenced in 2 articles [sw02761]
  • DCMOGADES: Distributed cooperation model of multi-objective genetic algorithm with distributed scheme To find design ... shop scheduling problems, adjustment problems of control, prediction of protein tertiary structure problems ... illustrated. The proposed algorithm is called Distributed Cooperation model of Multi-Objective Genetic Algorithm with...
  • PICS

  • Referenced in 3 articles [sw37329]
  • truncated (t)-distribution to adjust binding event models for reads that are missing ... local genome repetitiveness. It estimates uncertainties in model parameters that can be used to define ... score relative to a control sample, and can use a control sample to estimate ... human cell lines, we show that PICS’ predicted binding sites were more consistent with computationally...
  • EPOCHS

  • Referenced in 1 article [sw25970]
  • EPOCHS), a distributed simulation environment. Existing electric power simulation tools accurately model power systems ... past, which were controlled as large regional power pools without significant communication elements. However ... power systems increasingly turn to protection and control systems that make use of computer networks ... simulators are less and less capable of predicting the likely behavior of the resulting power...
  • BClass

  • Referenced in 2 articles [sw26091]
  • nature are analyzed. Various statistical distributions are used to model the continuous/categorical data commonly produced ... number of groups in the analysis is controlled dynamically by rendering the groups as ’alive ... consistent with current knowledge and allowed prediction of missing values for a number of genes...
  • CVFEM

  • Referenced in 1 article [sw41248]
  • conditions. The code is based on the control volume finite element method, written in MATLAB ... Combustion modelling can be carried out by either an enhanced flame sheet model in which ... equation. Three-dimensional numerical predictions, based on the flame sheet model, were able to simulate ... numerical predictions was obtained, particularly regarding flame structure, species mass fractions and temperature distribution...
  • ADOL-C

  • Referenced in 249 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...