• hgam

  • Referenced in 73 articles [sw11201]
  • Additive Modelling. We propose a new sparsity-smoothness penalty for high-dimensional generalized additive models ... combination of sparsity and smoothness is crucial for mathematical theory as well as performance ... Finally, an adaptive version of our sparsity-smoothness penalized approach yields large additional performance gains...
  • VTK

  • Referenced in 109 articles [sw10593]
  • such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation...
  • ALGENCAN

  • Referenced in 108 articles [sw05160]
  • Fortran code for minimizing a smooth function with a potentially large number of variables...
  • Manopt

  • Referenced in 106 articles [sw08493]
  • focus is on problems where the smooth geometry of the search space can be leveraged...
  • SSVM

  • Referenced in 61 articles [sw12678]
  • SSVM: A smooth support vector machine for classification. Smoothing methods, extensively used for solving important ... here to generate and solve an unconstrained smooth reformulation of the support vector machine ... arbitrary kernel. We term such reformulation a Smooth Support Vector Machine (SSVM). A fast Newton...
  • UNCMND

  • Referenced in 101 articles [sw05265]
  • NCMND minimizes a smooth nonlinear function of n variables. A subroutine that computes the function...
  • sm

  • Referenced in 70 articles [sw12256]
  • package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked ... book ’Applied Smoothing Techniques for Data Analysis - The Kernel Approach with S-Plus Illustrations’ Oxford...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • Statistics. 32. p1093-1136 Kovac, A. (2006) Smooth functions and local extreme values. Computational Statistics ... Kovac, A. (2006) Extensions of smoothing via taut strings Davies, P. L. (1995) Data features...
  • SsfPack

  • Referenced in 65 articles [sw09502]
  • Basic functions are available for filtering, moment smoothing and simulation smoothing. Ready-to-use functions...
  • Forecast

  • Referenced in 87 articles [sw07972]
  • analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA...
  • CFSQP

  • Referenced in 61 articles [sw04658]
  • maximum of a set of smooth objective functions (possibly a single one) subject to general ... smooth constraints. If the initial guess provided by the user is infeasible for some inequality...
  • logcondens

  • Referenced in 49 articles [sw11215]
  • density as well as a smoothed version of it under the assumption that the density ... concave MLE and its smoothed version. In addition, we provide functions to compute ... density and distribution function estimates (MLE and smoothed) at a given point (2) the characterizing...
  • PCA-SIFT

  • Referenced in 78 articles [sw04592]
  • neighborhood; however, instead of using SIFT’s smoothed weighted histograms, we apply Principal Components Analysis...
  • SCCP

  • Referenced in 77 articles [sw03318]
  • special cases. Based on a general smoothing function, we propose in this paper...
  • TREESPH

  • Referenced in 68 articles [sw14217]
  • Monte Carlo-like approach known as smoothed particle hydrodynamics (SPH). Unlike most previous implementations...
  • expsmooth

  • Referenced in 37 articles [sw11122]
  • expsmooth: Data Sets from ”Forecasting with Exponential Smoothing”. Data sets from the book ”Forecasting with ... exponential smoothing: the state space approach” by Hyndman, Koehler, Ord and Snyder (Springer, 2008). Forecasting ... with exponential smoothing. The state space approach. Exponential smoothing methods have been around since ... used in business and industry. Recently, exponential smoothing has been revolutionized with the introduction...
  • MeatAxe

  • Referenced in 66 articles [sw04906]
  • objects can be handled, but not as smoothly as you might expect. For example...
  • SiZer

  • Referenced in 66 articles [sw34664]
  • structures in curves. In the use of smoothing methods in data analysis, an important question...
  • AWS

  • Referenced in 46 articles [sw04034]
  • package aws: Adaptive Weights Smoothing. The package contains R-functions implementing the Propagation-Separation Approach ... adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), Propagation-Separation Approach...
  • FPC_AS

  • Referenced in 64 articles [sw12218]
  • involves the minimization of a smaller and smooth quadratic function, is solved in the second...