• ibr

  • Referenced in 7 articles [sw11227]
  • smoothness of the true regression function. Our estimator is easily computed by successive application ... small dimension (3≤d≤7) and moderate sample size n≤1000. Moreover our estimator...
  • QuEST

  • Referenced in 10 articles [sw38788]
  • quest function. Certain estimation problems involving the covariance matrix in large dimensions are considered ... when the dimension is not negligible with respect to the sample size, it is necessary ... known as large-dimensional asymptotics. Recently, an estimator of the eigenvalues of the population covariance...
  • MDR

  • Referenced in 9 articles [sw22494]
  • single dimension thus permitting interactions to be detected in relatively small sample sizes. In this ... with a cross-validation strategy for estimating the classification and prediction error of multifactor models...
  • Intrinsic-Dimension

  • Referenced in 3 articles [sw39926]
  • develop a novel estimator for the intrinsic dimension (ID). By approximating geodesics with minimum distance ... obtain an ID estimate. We show that the estimator does not depend on the shape ... highly accurate, even for exceedingly small sample sizes. We apply the method to several relevant ... discuss possible interpretations for the estimated dimension in light of the correlations among input variables...
  • HDShOP

  • Referenced in 1 article [sw41986]
  • package. They provide simple and feasible estimators and tests for optimal portfolio weights, which ... portfolio dimension (number of stocks) and n is the sample size. The package also includes ... tools for constructing portfolios based on shrinkage estimators of the mean vector and covariance matrix...
  • Megaman

  • Referenced in 3 articles [sw17838]
  • data and require large sample sizes to accurately estimate the manifold. Despite this, most existing ... unbiased Laplacian estimator introduced by Coifman and Lafon (2006) and the estimation of the embedding ... consisting of 0.6 million samples in 3750-dimensions -- a task which has not previously been...
  • FastMMD

  • Referenced in 3 articles [sw31729]
  • where N and d are the size and dimension of the sample set, respectively. Here ... theoretically proved in both unbiased and biased estimates. We also provide a geometric explanation...
  • SAKEIMA

  • Referenced in 1 article [sw36894]
  • show how the characterization of the VC dimension, a core concept from statistical learning theory ... leads to practical bounds on the sample size required for a rigorous approximation. Our experimental ... dataset and that the frequencies estimated by SAKEIMA lead to accurate estimates...
  • GeoMLE

  • Referenced in 0 articles [sw39924]
  • standard maximum likelihood estimate of intrinsic dimension for flat manifolds. The proposed algorithm (GeoMLE) realizes ... distances to nearest neighbors for different sizes of neighborhoods. Moreover, the proposed approach also efficiently...
  • gensei

  • Referenced in 1 article [sw25985]
  • dimensional objects (ellipsoids, cylinders), dimensions of the reference volume, size of the generated images ... comparing the true and section-based estimates of the volume, surface and length, the settings...
  • ReDO

  • Referenced in 0 articles [sw25850]
  • usually have a detrimental effect on its size, power consumption, performance and cost. Design space ... must be traded-off with other design dimensions. This paper proposes a cross-layer multi ... algorithm exploits a system-level Bayesian reliability estimation model to analyze the effect of different ... execution time, power, hardware area and software size. This strategy supports the exploration...
  • GigaMesh

  • Referenced in 1 article [sw06599]
  • state-of-the-art systems roughly estimate integral invariants for determining small numbers of highly ... relevant parameter, which is the maximum size of the expected features. The proposed methods were ... Finally observations about integral invariants in higher dimensions are shown and an outlook is given...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • cdd

  • Referenced in 115 articles [sw00114]
  • The program cdd+ (cdd, respectively) is a C...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Expokit

  • Referenced in 200 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • FGb

  • Referenced in 247 articles [sw00286]
  • FGb/Gb libraryGb is a program (191 420 lines...
  • GAP

  • Referenced in 3164 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • Gmsh

  • Referenced in 765 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...