• gss

  • Referenced in 277 articles [sw06099]
  • discussions are devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most...
  • mgcv

  • Referenced in 84 articles [sw07751]
  • other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also...
  • fields

  • Referenced in 51 articles [sw08187]
  • functions that can determine the smoothing parameter (nugget and sill variance) by cross validation...
  • frailtypack

  • Referenced in 40 articles [sw06070]
  • events). An automatic choice of the smoothing parameter is possible using an approximated cross-validation...
  • KELLEY

  • Referenced in 610 articles [sw04829]
  • pages, is devoted to the optimization of smooth functions. The methods studied in this first ... provides basic concepts. It also introduces a parameter identification problem and a discretized optimal control ... discussed in the respective chapter using the parameter identification problem and the discretized optimal control ... treatment of both, optimization methods for smooth and for noisy functions is a unique feature...
  • decon

  • Referenced in 18 articles [sw11088]
  • selection of the data-driven smoothing parameter are also provided in the package. See details...
  • SDMINMAX

  • Referenced in 12 articles [sw36992]
  • Bertsekas. This technique depends on a smoothing parameter which controls the approximation to the finite ... based on a sampling of the smooth function along a suitable search direction ... particular updating rule for the smoothing parameter that depends on the sampling stepsize. Numerical results...
  • Worm plot

  • Referenced in 12 articles [sw08567]
  • this transformation are modelled as smooth age-dependent parameter curves for the median, variation ... choose the appropriate amount of smoothness of each parameter curve. The worm plot assesses...
  • ibr

  • Referenced in 7 articles [sw11227]
  • need of selecting an optimal smoothing parameter), such as thin-plate spline or kernel smoothers...
  • NESUN

  • Referenced in 32 articles [sw28733]
  • level of smoothness of the objective function. Their only essential input parameter is the required ... fast rate of convergence, typical for the smooth optimization problems, sometimes can be achieved even...
  • NESVM

  • Referenced in 6 articles [sw08753]
  • accelerate NESVM by dynamically decreasing the smooth parameter and using the continuation method. Our experiments...
  • GCVPACK

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

  • Referenced in 5 articles [sw15787]
  • model with multiple smoothing parameter selection by GCV or UBRE/AIC...
  • DBKGrad

  • Referenced in 5 articles [sw14541]
  • variable or adaptive smoothing parameter, based on the further information provided by the exposed...
  • galepu

  • Referenced in 10 articles [sw15103]
  • Computation of smooth manifolds via rigorous multi-parameter continuation in infinite dimensions. In this paper ... constructive rigorous numerical method to compute smooth manifolds implicitly defined by infinite-dimensional nonlinear operators ... triangulation of the manifold using a multi-parameter continuation method on a finite-dimensional projection ... idea behind the construction of the smooth charts is to use the radii polynomial approach...
  • PHMPL

  • Referenced in 3 articles [sw29636]
  • solution is approximated using splines. The smoothing parameter is chosen using approximate cross-validation. Confidence...
  • NESTA

  • Referenced in 123 articles [sw06576]
  • already quite immense. This paper applies a smoothing technique and an accelerated first-order algorithm ... depend on the fine tuning of several parameters. Comprehensive numerical experiments on realistic signals exhibiting...
  • TnT

  • Referenced in 19 articles [sw07977]
  • parameter generation trains on tagged corpora. The system incorporates several methods of smoothing...
  • PuFFIN

  • Referenced in 2 articles [sw22390]
  • prevents users from choosing the ”wrong” parameters and obtain sub-optimal nucleosome maps. RESULTS: PuFFIN ... particular value of the smoothing parameter. After a set of candidate nucleosomes is computed...
  • boostmtree

  • Referenced in 2 articles [sw20721]
  • splines (P-splines) with estimated adaptive smoothing parameter...