
hgam
 Referenced in 73 articles
[sw11201]
 Additive Modelling. We propose a new sparsitysmoothness penalty for highdimensional generalized additive models ... combination of sparsity and smoothness is crucial for mathematical theory as well as performance ... Finally, an adaptive version of our sparsitysmoothness 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 SPlus Illustrations’ Oxford...

ftnonpar
 Referenced in 67 articles
[sw11128]
 Statistics. 32. p10931136 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. Readytouse 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...

PCASIFT
 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 Carlolike 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 Rfunctions implementing the PropagationSeparation Approach ... adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), PropagationSeparation Approach...

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