• EGO

  • Referenced in 393 articles [sw07588]
  • balances between finding the minimum of the surface and improving the approximation by sampling where...
  • BalancedSampling

  • Referenced in 10 articles [sw15761]
  • package BalancedSampling. Select balanced and spatially balanced probability samples in multi-dimensional spaces with ... spatially correlated Poisson sampling (for spatially balanced sampling) are included. Also the cube method ... balanced sampling) and the local cube method (for doubly balanced sampling) are included...
  • bootlib

  • Referenced in 426 articles [sw40642]
  • extends the basic ideas to several samples, semiparametric and smooth models. Significance and confidence intervals ... describes how variance reduction techniques such as balanced simulation can be adapted to yield improved...
  • MWMOTE

  • Referenced in 14 articles [sw32596]
  • generating the synthetic minority class samples to balance the distribution between the samples...
  • ASTRO-DF

  • Referenced in 12 articles [sw26833]
  • determined by continuously monitoring and balancing measures of sampling error (or variance) and structural error ... model bias) within ASTRO-DF. Such balancing of errors is designed to ensure that Monte ... ASTRO-DF is sensitive to algorithm trajectory: sampling is higher whenever an iterate is inferred...
  • pSuc-Lys

  • Referenced in 31 articles [sw16643]
  • acid composition, (2) balancing out skewed training dataset by random sampling, and (3) constructing...
  • BAS

  • Referenced in 3 articles [sw10530]
  • Balanced Acceptance Sampling of natural resources. To design an efficient survey or monitoring program ... resource. Generally, sample designs that are spatially balanced are more efficient than designs ... which are not. A spatially balanced design selects a sample that is evenly distributed over ... space. The design, which we call balanced acceptance sampling, utilizes the Halton sequence to assure...
  • ROSE

  • Referenced in 4 articles [sw25503]
  • package ROSE: ROSE: Random Over-Sampling Examples. The package provides functions to deal with binary ... presence of imbalanced classes. Synthetic balanced samples are generated according to ROSE (Menardi and Torelli...
  • iCar-PseCp

  • Referenced in 18 articles [sw23951]
  • carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general ... acid composition, and balancing out skewed training dataset by Monte Carlo sampling to expand positive...
  • ebal

  • Referenced in 1 article [sw24557]
  • package ebal: Entropy reweighting to create balanced samples. Package implements entropy balancing, a data preprocessing ... This can be useful to create balanced samples in observational studies with a binary treatment ... group. Entropy balancing can also be used to reweight a survey sample to known characteristics...
  • iDrug-Target

  • Referenced in 13 articles [sw22415]
  • minority over-sampling technique to treat the skewed benchmark datasets and balance the positive...
  • MR and LTV Synthesis Tools

  • Referenced in 36 articles [sw05190]
  • areas: H-infinity synthesis of multi-rate sampled data LTI systems using LMI synthesis methods ... discrete-time LTV) LTV system balance, reduction, and truncation LTV stability and stabilizability through eigenvalue...
  • ebalance

  • Referenced in 1 article [sw24556]
  • This can be useful to create balanced samples in observational studies with a binary treatment ... group. Entropy balancing can also be used to reweight a survey sample to known characteristics...
  • ACOSampling

  • Referenced in 5 articles [sw41786]
  • them with all minority samples to construct the final balanced training set. We evaluated ... that the proposed method outperforms many other sampling approaches, which indicates its superiority...
  • SamplingBigData

  • Referenced in 1 article [sw31430]
  • large data sets. This includes spatially balanced sampling in multi-dimensional spaces with any prescribed...
  • MRESVM

  • Referenced in 1 article [sw23457]
  • algorithm for scalable image annotation which re-samples the training dataset based on bootstrapping ... using a cluster of computers. A balanced sampling strategy for bootstrapping is introduced to increase...
  • entbal

  • Referenced in 1 article [sw38236]
  • multivariate reweighting method to produce balanced samples in observational studies.” Political Analysis...
  • MatchingFrontier

  • Referenced in 1 article [sw23426]
  • package MatchingFrontier: Computation of the Balance - Sample Size Frontier in Matching Methods for Causal Inference...
  • PARTITION

  • Referenced in 11 articles [sw04500]
  • balanced and unbalanced hierarchical designs with up to six levels of sampling. Version...
  • ForWaRD

  • Referenced in 55 articles [sw12296]
  • signals and images. We derive the optimal balance between the amount of Fourier and wavelet ... optimal WVD rate as the number of samples increases. Further, we demonstrate that over...