• RSVM

  • Referenced in 52 articles [sw15261]
  • than a conventional SVM using a small random sample of the data. Computational times...
  • SuLQ

  • Referenced in 121 articles [sw11355]
  • using a surprisingly small amount of noise -- much less than the sampling error -- provided...
  • LogXact

  • Referenced in 16 articles [sw12105]
  • challenge only intensifies when coupled with small sample sizes or missing data sets. LogXact aims...
  • ump

  • Referenced in 27 articles [sw12360]
  • badly on discrete data at small and moderate sample sizes. We introduce a new confidence...
  • SMOTE

  • Referenced in 125 articles [sw34239]
  • SMOTE: Synthetic Minority Over-sampling Technique. An approach to the construction of classifiers from imbalanced ... composed of ”normal” examples with only a small percentage of ”abnormal” or ”interesting” examples ... cost of the reverse error. Under-sampling of the majority (normal) class has been proposed...
  • MDR

  • Referenced in 9 articles [sw22494]
  • interactions to be detected in relatively small sample sizes. In this paper, we describe...
  • StreamKM++

  • Referenced in 13 articles [sw25552]
  • StreamKM++ computes a small weighted sample of the data stream,called the coreset...
  • bclust

  • Referenced in 6 articles [sw23381]
  • discrimination probabilities. The adopted method suites small sample large dimension setting. The model parameter estimation...
  • npmv

  • Referenced in 5 articles [sw14566]
  • multivariate data, for small samples using Nonparametric techniques. Using approximations for ANOVA Type, Wilks’ Lambda...
  • ivreg2

  • Referenced in 5 articles [sw31884]
  • small option to report small-sample statistics; first-stage regression reported with F-test...
  • nparLD

  • Referenced in 5 articles [sw22736]
  • with respect to outliers and for small sample sizes...
  • datamicroarray

  • Referenced in 4 articles [sw25719]
  • scripts to download, process, and load small-sample, high-dimensional microarray data sets to assess ... each data set, we include a small set of scripts that automatically download, clean...
  • MethylSig

  • Referenced in 4 articles [sw23506]
  • utilizing a beta-binomial approach across biological samples for a CpG site or region ... and/or variance estimation for experiments with small sample size. A permutation study based on data...
  • hoa

  • Referenced in 4 articles [sw11057]
  • book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid...
  • spgam1

  • Referenced in 4 articles [sw27802]
  • Segal, Knuiman and James (2001). The small sample and asymptotic statistical properties of parameter estimates...
  • wbs

  • Referenced in 57 articles [sw11110]
  • points can increase to infinity with the sample size. Due to a certain random localisation ... spacings between the change-points and/or very small jump magnitudes, unlike standard binary segmentation...
  • GenoSNP

  • Referenced in 3 articles [sw34351]
  • light and practical for studies involving small sample sizes and provides a valuable independent quality...
  • rL-GenSVM

  • Referenced in 2 articles [sw34760]
  • classification from the high-dimensional and small-sample gene expression data and successfully separate ... fold cross-validation on all samples of each dataset. The experimental results show that ... widely applied to high-dimensional and small-sample tumor data classification. The source code...
  • PCP

  • Referenced in 3 articles [sw30033]
  • computing reliable performance estimates in small-sample scenarios. Additionally, the program includes automated and efficient...
  • DENCLUE

  • Referenced in 12 articles [sw28734]
  • used hill climbing may make unnecessary small steps in the beginning and never converges exactly ... accelerated by sampling based methods with sacrificing only a small amount of accuracy...