• CMAR

  • Referenced in 53 articles [sw28406]
  • mined rules and sometimes biased classification or overfitting since the classification is based on only...
  • RELION

  • Referenced in 19 articles [sw22792]
  • Fourier shell correlation (FSC) procedure to prevent overfitting is also described. The resulting implementation yields...
  • iHSP-PseRAAAC

  • Referenced in 16 articles [sw25193]
  • avoid the notorious dimension disaster or overfitting problem in statistical prediction. It was observed that...
  • BayesPeak

  • Referenced in 8 articles [sw18843]
  • probability output, along with methods for handling overfitting and support for parallel processing. We briefly...
  • fabMix

  • Referenced in 4 articles [sw32111]
  • package fabMix: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number ... number of clusters is estimated using overfitting mixture models (Rousseau and Mengersen ... sample from the posterior distribution of the overfitting mixture. A prior parallel tempering scheme...
  • DESPOT

  • Referenced in 6 articles [sw27455]
  • scenarios and the policy size, thus avoiding overfitting. The algorithm demonstrates strong experimental results, compared...
  • SABoost

  • Referenced in 6 articles [sw36832]
  • step size becomes large, it tends to overfit (i.e. bias towards training scenarios). This choice...
  • HybridILPMiner

  • Referenced in 5 articles [sw25956]
  • applying region theory directly results in complex, overfitting models, which is less desirable. Moreover, region...
  • PRED-CLASS

  • Referenced in 5 articles [sw26873]
  • improved generalization, and the avoidance of data overfitting. Capturing information from...
  • Augmentor

  • Referenced in 5 articles [sw28298]
  • improve model accuracy, generalisation, and to control overfitting. Augmentor is a software package, available...
  • MatchNet

  • Referenced in 5 articles [sw31214]
  • with synthetic exemplar pairs that reduce overfitting. Once trained, we achieve better computational efficiency during...
  • picasso

  • Referenced in 3 articles [sw20406]
  • which has significantly less estimation error and overfitting compared to convex penalty such as lasso...
  • RBoost

  • Referenced in 3 articles [sw29975]
  • into strong classifiers. However, AdaBoost tends to overfit to the noisy data in many applications...
  • SVCCA

  • Referenced in 3 articles [sw35870]
  • training regimes that simultaneously save computation and overfit less...
  • polywog

  • Referenced in 2 articles [sw07109]
  • adaptive LASSO or SCAD to prevent overfitting...
  • R3P-Loc

  • Referenced in 2 articles [sw22444]
  • information, causing the prediction systems suffer from overfitting. To address these problems, this paper proposes...
  • mcmcabn

  • Referenced in 2 articles [sw31038]
  • cache of pre-computed scores, controlling for overfitting and sampling the landscape of high scoring...
  • Albumentations

  • Referenced in 2 articles [sw32338]
  • common implicit regularization technique to combat overfitting in deep convolutional neural networks and are ubiquitously...
  • PseKRAAC

  • Referenced in 2 articles [sw34211]
  • simplified, which leads to decrease chance of overfitting, lower computational handicap and reduce information redundancy...
  • rL-GenSVM

  • Referenced in 2 articles [sw34760]
  • GenSVM uses regularization parameters to avoid overfitting and can be widely applied to high-dimensional...