• Pegasos

  • Referenced in 85 articles [sw08752]
  • where λ is the regularization parameter of SVM. For a linear kernel, the total...
  • TIGRA

  • Referenced in 38 articles [sw02333]
  • Tikhonov regularized solutions with a fixed regularization parameter and a parameter iteration for satisfying...
  • Mincer

  • Referenced in 63 articles [sw09009]
  • diagrams with respect to the parameter of dimensional regularization up to terms which, in particular...
  • SLEP

  • Referenced in 34 articles [sw13487]
  • solutions corresponding to a series of regularization parameters by the “warm-start” technique...
  • MinRes

  • Referenced in 25 articles [sw09350]
  • parameters like the conductivity and the regularization parameters. Furthermore, we analyze the asymptotic behavior...
  • Bolasso

  • Referenced in 26 articles [sw31649]
  • Lasso. For various decays of the regularization parameter, we compute asymptotic equivalents of the probability...
  • IR Tools

  • Referenced in 23 articles [sw26721]
  • method uses any special stopping criteria, regularization parameters, etc., then default values are set automatically...
  • MBresolve

  • Referenced in 20 articles [sw10421]
  • Mellin-Barnes integrals in the dimensional regularization parameter, or a parameter of the analytic regularization...
  • BLOOMP

  • Referenced in 20 articles [sw06454]
  • Lasso-BLOT with the optimized regularization parameter have the best performance. In the noiseless case...
  • RegEM

  • Referenced in 15 articles [sw04943]
  • regularized estimation method replaces the conditional maximum likelihood estimation of regression parameters in the conventional ... fixed truncation parameter) and ridge regression with generalized cross-validation as regularized estimation methods ... modules that perform he regularized estimation of regression parameters (e.g., ridge regression and generalized cross ... methods and other methods of determiningca regularization parameter. Per-Christian Hansen’s Regularization Tools contain...
  • glasso

  • Referenced in 353 articles [sw07432]
  • undirected Gaussian graphical model, using ℓ 1 regularization to control the number of zeros ... models for different values of the tuning parameter. Convergence of glasso can be tricky...
  • na28

  • Referenced in 15 articles [sw11502]
  • that, except for the mandatory regularization parameter, the user needs not specify any parameters...
  • GKB-FP

  • Referenced in 14 articles [sw02082]
  • generated Krylov subspace. The regularization parameter for the projected problem is chosen by the fixed...
  • GCVPACK

  • Referenced in 13 articles [sw31699]
  • method of choosing a smoothing or regularization parameter and we describe the structure...
  • blasso

  • Referenced in 11 articles [sw06769]
  • Prior distributions are proposed for the regularization parameters, resulting in an infinite mixture of elastic...
  • DiSCO

  • Referenced in 8 articles [sw28439]
  • i.i.d. sampled and when the regularization parameter scales as 1/sqrtn, we show that the proposed...
  • PicardREG

  • Referenced in 4 articles [sw15726]
  • Estimation of the Regularization Parameter in Linear Discrete Ill-Posed Problems Using the Picard parameter ... approach for determining the regularization parameter for general-form Tikhonov regularization of linear ill-posed ... problems. In our approach the regularization parameter is found by approximately minimizing the distance between ... manuscript titled “Estimation of the regularization parameter in linear discrete ill-posed problems using...
  • NumExp

  • Referenced in 5 articles [sw16825]
  • other transcendental functions in a small regularization parameter. The hypergeometric function is expressed ... Laurent series in the regularization parameter and the coefficients are evaluated numerically by using ... needed in the context of dimensional regularization for loop integrals. The divergent and finite parts ... there is almost no restriction on the parameters of hypergeometric functions...
  • SparseFIS

  • Referenced in 10 articles [sw13736]
  • phase estimates the linear consequent parameters by a regularized sparsity-constrained-optimization procedure for each ... applied in order to force linear parameters to be 0, triggering a feature-selection mechanism...
  • HyBR

  • Referenced in 3 articles [sw29132]
  • appropriate choice of a regularization parameter at each iteration...