• ALINEA

  • Referenced in 2 articles [sw28024]
  • data-driven control design approach for freeway traffic ramp metering with virtual reference feedback tuning ... since it is a “one-shot” data-driven control design methodology. This paper presents ... enough prior knowledge of the controlled system to select a proper parameter of ALINEA ... effectiveness and applicability of the proposed data-driven controller tuning approach...
  • pyvrft

  • Referenced in 2 articles [sw31382]
  • Virtual Reference Feedback Tuning, a direct data-driven control method. In this paper, the pyvrft ... Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT...
  • Synth

  • Referenced in 5 articles [sw24809]
  • Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where ... intervention. It provides a data-driven procedure to construct synthetic control units based...
  • emgr

  • Referenced in 13 articles [sw07554]
  • example in: model reduction, decentralized control, optimal placement, sensitivity analysis or parameter identification. Empirical Gramian ... nonlinear systems due to their data-driven computation. The empirical Gramian framework is a compact...
  • highTtest

  • Referenced in 4 articles [sw11203]
  • asymptotically valid data-driven procedure to find critical values for rejection regions controlling...
  • someKfwer

  • Referenced in 6 articles [sw06069]
  • Familywise Error Rate (k-FWER) control which does not involve any correction, but only ... testing the hypotheses along a (possibly data-driven) order until a suitable number...
  • VRFT

  • Referenced in 1 article [sw31383]
  • Tuning (VRFT) is a direct data-driven method for controller design. In this paper...
  • AutonoVi

  • Referenced in 1 article [sw35055]
  • cyclists using control velocity obstacles. We use a data-driven approach to model the vehicle...
  • hierinf

  • Referenced in 4 articles [sw33471]
  • signal is strong) in a data-driven and automated procedure. The method is based ... efficient hierarchical multiple testing correction and controls the FWER. The functions can easily...
  • DaDRA

  • Referenced in 1 article [sw40400]
  • DaDRA: A Python Library for Data-Driven Reachability Analysis. Reachability analysis is used to determine ... critical systems both for safety verification and controller synthesis. Though traditional approaches to reachability analysis ... Python library that allows for data-driven reachability analysis with arbitrarily robust probabilistic guarantees ... system acting under complex disturbance signals and controlled with an intricate controller across multiple dimensions...
  • hierGWAS

  • Referenced in 1 article [sw33150]
  • SNPs. The method controls the FWER, and provides an automatic, data-driven refinement...
  • GeneSPIDER

  • Referenced in 1 article [sw29318]
  • allows independent control of network and data properties to enable data-driven benchmarking. GeneSPIDER...
  • HOSIM

  • Referenced in 8 articles [sw38402]
  • training images. This approach is data-driven and reconstructs both high and lower-order spatial ... information that is not available in the data used. However, the three-dimensional implementation ... conditional distribution and the number of data used within the respective neighbourhood. This leads ... algorithm. Application and comparisons in a controlled environment show the excellent performance and efficiency...
  • WaveSeq

  • Referenced in 2 articles [sw22384]
  • novel data-driven method of detecting regions of significant enrichment in ChIP-Seq data ... distributional assumptions and is robust to diverse data characteristics such as low signal-to-noise ... regions even in the absence of a control data set. The application of our algorithm...
  • AutoLoss

  • Referenced in 1 article [sw42061]
  • metadata, allows for a dynamic and data-driven schedule in ML problems that involve alternating ... translation (NMT). We show that the AutoLoss controller is able to capture the distribution...
  • D4RL

  • Referenced in 1 article [sw40534]
  • D4RL: Datasets for Deep Data-Driven Reinforcement Learning. The offline reinforcement learning (RL) setting (also ... existing offline RL benchmarks are restricted to data generated by partially-trained agents, making progress ... properties include: datasets generated via hand-designed controllers and human demonstrators, multitask datasets where...
  • BoomerAMG

  • Referenced in 196 articles [sw00086]
  • BoomerAMG: A parallel algebraic multigrid solver and preconditioner...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • complib

  • Referenced in 34 articles [sw00149]
  • COMPlib: COnstraint matrix-optimization problem library–a collection...