• iLaplace

  • Referenced in 3 articles [sw18576]
  • However, in high-dimensional or small sample size problems, the shape of the integrand function...
  • RSVM

  • Referenced in 55 articles [sw15261]
  • thrown away after solving the optimization problem. This is achieved by making ... that greatly reduces the size of the quadratic program to be solved and simplifies ... nonlinear separating surface that depends on a small randomly selected portion of the dataset ... than a conventional SVM using a small random sample of the data. Computational times...
  • MDR

  • Referenced in 9 articles [sw22494]
  • computational challenge. To address this problem, we have developed a multifactor dimensionality reduction (MDR) method ... interactions to be detected in relatively small sample sizes. In this paper, we describe...
  • VEGAS+

  • Referenced in 5 articles [sw36233]
  • hybrid, we show how to use integrand samples, generated using MCMC or other methods ... will often outperform MCMC for small and moderate sized problems...
  • FRegSigComp

  • Referenced in 2 articles [sw22557]
  • larger than the sample size. The high dimensionality of this problem poses theoretical and practical ... coefficient functions of the predictive curves have small norms. To take advantage of this sparsity ... incorporated into a generalized functional eigenvalue problem to obtain estimates of the model. We establish ... estimation errors as both the sample size and the number of predictive curves...
  • TRIOPT

  • Referenced in 6 articles [sw02486]
  • problems. The method starts by forming a Delaunay triangulation of a given set of samples ... partition narrows down to a small size, its vertices are eliminated from the available sample...
  • MCLLH

  • Referenced in 1 article [sw34702]
  • estimation are the main categories of statistical problems in science. Bayesian and frequentist methods that ... large and small sample size limits. Our formulation performs better than semi-analytic methods, prevents...
  • ritest

  • Referenced in 1 article [sw37427]
  • problems often faced by applied researchers, including issues arising in the context of small samples ... clustered and stratified assignments, with varying cluster sizes, pairwise randomization, and the computation of nonapprox...
  • FReET

  • Referenced in 1 article [sw22080]
  • small-sample techniques which have been developed for the analysis of computationally intensive problems ... shows the possibility of “randomizing” computationally intensive problems in the manner of the Monte Carlo ... simulations at an acceptable level, Latin Hypercube Sampling is utilized. The technique is used ... hierarchical sampling approach has been developed for the extension of the sample size in Latin...
  • SSLB

  • Referenced in 1 article [sw40225]
  • goal is to cluster patients or samples by their gene expression profiles; and recommender systems ... This submatrix detection problem can be viewed as a factor analysis problem in which both ... Many biclustering methods make assumptions about the size of the latent biclusters; either assuming that ... same size, or that the biclusters are very large or very small. In contrast, SSLB...
  • ManiSolve

  • Referenced in 1 article [sw34623]
  • form with small diagonal blocks and with small border width; this can be performed fully ... sequence of challenging problems. Beyond a certain problem size, the computational effort of multistart ... linearly with the problem size. It depends on the problem size and on the hyperparameter ... general case, increasing the so-called sample size hyperparameter improves the robustness of the proposed...
  • REMI

  • Referenced in 1 article [sw41504]
  • certain marginal information or summary statistics. This problem is motivated by genome-wide association studies ... matrix of the predictors with external reference samples. The proposed method is highly scalable ... marginal estimates available with a small number of reference samples, as in a GWAS ... complete data, but with a relatively small sample size. We apply the proposed method...
  • ANSYS

  • Referenced in 703 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • CGAL

  • Referenced in 384 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • CSDP

  • Referenced in 202 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...
  • Gmsh

  • Referenced in 720 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • HSL

  • Referenced in 279 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • LAPACK

  • Referenced in 1695 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Magma

  • Referenced in 3296 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...