• 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...