• SVMlight

  • Referenced in 263 articles [sw04076]
  • computational expense, but they are conservatively biased. Almost unbiased estimates provides leave-one-out testing...
  • CUTE

  • Referenced in 223 articles [sw14681]
  • There is a Unix and C shell bias to many of the descriptions...
  • PROFIL/BIAS

  • Referenced in 134 articles [sw00733]
  • complex numbers. PROFIL is based on BIAS (Basic Interval Arithmetic Subroutines). The developement of BIAS ... provided by the manufacturers. The idea of BIAS is to give such an interface...
  • node2vec

  • Referenced in 58 articles [sw27202]
  • node’s network neighborhood and design a biased random walk procedure, which efficiently explores diverse...
  • betareg

  • Referenced in 40 articles [sw15449]
  • precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well...
  • CMAR

  • Referenced in 51 articles [sw28406]
  • huge set of mined rules and sometimes biased classification or overfitting since the classification...
  • Jellyfish

  • Referenced in 29 articles [sw12431]
  • projected incremental gradient method with a biased, random ordering of the increments. This biased ordering...
  • iSNO-PseAAC

  • Referenced in 39 articles [sw22446]
  • sites. To reduce the homology bias, none of these sites were derived from the proteins...
  • Algorithm 823

  • Referenced in 36 articles [sw04470]
  • sequences eliminates their inherent bias while retaining their low-discrepancy properties. This article describes...
  • R-MAX

  • Referenced in 32 articles [sw02539]
  • formally justifies the “optimism under uncertainty” bias used in many RL algorithms...
  • SMOTEBoost

  • Referenced in 32 articles [sw12571]
  • majority class. Thus, to reduce the bias inherent in the learning procedure due to class...
  • KITTI

  • Referenced in 32 articles [sw30418]
  • world. Our goal is to reduce this bias and complement existing benchmarks by providing real...
  • BradleyTerry2

  • Referenced in 20 articles [sw09554]
  • which involve a random effect), or by bias-reduced maximum likelihood in which the first ... order asymptotic bias of parameter estimates is eliminated. Also provided are a simple and efficient...
  • Euk-PLoc

  • Referenced in 24 articles [sw22420]
  • vacuole. To avoid the homology bias, none of the proteins included has > or =25% sequence...
  • Hum-PLoc

  • Referenced in 24 articles [sw26863]
  • redundancy and homology bias, none of the proteins investigated here had > or = 25% sequence identity...
  • pSumo-CD

  • Referenced in 14 articles [sw23949]
  • covariance discriminant (CD) algorithm, in which a bias-adjustment term, which has the function ... automatically adjust the errors caused by the bias due to the imbalance of training data...
  • brglm2

  • Referenced in 10 articles [sw19510]
  • package brglm2. Bias Reduction in Generalized Linear Models. Estimation and inference from generalized linear models ... based on various methods for bias reduction. The brglmFit fitting method can achieve reduction ... estimation bias either through the adjusted score equations approach in Firth (1993) <bias of the maximum likelihood estimator from...
  • pLoc_bal-mGpos

  • Referenced in 11 articles [sw27673]
  • other subsets. Accordingly, it cannot avoid the bias consequence caused by such an uneven training ... dataset. To alleviate such bias consequence, we have developed a new and bias-reducing predictor...
  • spatial panels

  • Referenced in 18 articles [sw30006]
  • article extends these routines to include the bias correction procedure proposed...
  • Grad-CAM

  • Referenced in 15 articles [sw35098]
  • help achieve generalization by identifying dataset bias. For captioning and VQA, we show that even...