• glasso

  • Referenced in 422 articles [sw07432]
  • models for different values of the tuning parameter. Convergence of glasso can be tricky...
  • irace

  • Referenced in 109 articles [sw08008]
  • Keywords: automatic configuration, offline tuning, parameter tuning, racing, F-race. Relevant literature: Manuel López-Ibáñez...
  • Control System Toolbox

  • Referenced in 143 articles [sw07643]
  • domain and frequency domain. You can tune compensator parameters using automatic PID controller tuning, Bode...
  • Adam

  • Referenced in 436 articles [sw22205]
  • gradients. The hyper-parameters have intuitive interpretations and typically require little tuning. Some connections...
  • SMAC

  • Referenced in 59 articles [sw27215]
  • that are more scientifically valuable than parameter tuning...
  • NESTA

  • Referenced in 124 articles [sw06576]
  • depend on the fine tuning of several parameters. Comprehensive numerical experiments on realistic signals exhibiting...
  • ShearLab

  • Referenced in 53 articles [sw06721]
  • algorithms in general, allowing one to tune parameters and objectively improve the implementation as well...
  • HSL_MI20

  • Referenced in 48 articles [sw07246]
  • user a range of options and parameters. Proper tuning of these parameters for a particular...
  • SPOT

  • Referenced in 87 articles [sw06347]
  • Sequential Parameter Optimization Toolbox. The sequential parameter optimization (spot) package for R (R Development Core ... Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-based ... common approaches in simulation and optimization. Sequential parameter optimization has been developed, because there ... optimization algorithms. spot includes methods for tuning based on classical regression and analysis of variance...
  • ManySAT

  • Referenced in 36 articles [sw00544]
  • modern SAT solvers: their sensitivity to parameter tuning and their lack of robustness. ManySAT uses...
  • LAMG

  • Referenced in 28 articles [sw06551]
  • million edges, with no parameter tuning. LAMG was more robust than the UMFPACK direct solver...
  • penalized

  • Referenced in 24 articles [sw06071]
  • approximated without refitting the model. The tuning parameter can now be chosen based on these...
  • Robust Control Toolbox

  • Referenced in 150 articles [sw07907]
  • functions, algorithms, and blocks for analyzing and tuning control systems for performance and robustness ... dynamics with uncertain elements, such as uncertain parameters or unmodeled dynamics. You can analyze ... robust stability and performance. The toolbox automatically tunes both SISO and MIMO controllers. These...
  • OptShrink

  • Referenced in 15 articles [sw33657]
  • special case. There are no tuning parameters involved so it can be used...
  • QICD

  • Referenced in 13 articles [sw19679]
  • weighted median, which ensures fast computation. Tuning parameter selection is based on two different method...
  • R-SPLINE

  • Referenced in 12 articles [sw29802]
  • precise sense. R-SPLINE, with no parameter tuning, compares favorably with popular existing algorithms...
  • SELL_C_sigma

  • Referenced in 11 articles [sw11232]
  • SELL-C-σ comes with two tuning parameters whose performance impact across the range...
  • RELION

  • Referenced in 15 articles [sw22792]
  • rely on user expertise for the tuning of parameters, RELION uses a Bayesian approach...
  • penalizedSVM

  • Referenced in 9 articles [sw15838]
  • norm’) penalties are availible. The tuning parameters can be founf using either a fixed grid...
  • TIGRESS

  • Referenced in 9 articles [sw23826]
  • method, and show that a fine parameter tuning can lead to significant improvements and state...